@prefix rdf: . @prefix feo: . @prefix it6: . @prefix dct: . @prefix rdfs: . @prefix xsd: . a it6:Run ; feo:runId "094fe237e5004ebfbe273dbbb16ee53f" ; it6:realizes "MANet" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_pastis_hd_scratch_MANet" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776683988893"^^ ; feo:endTime "1776684531807"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9085066e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.0109744e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.01885942e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.0134673e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.005640789e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.009519477e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.04394687e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.0175868e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.223492e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.04316833e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.02033058e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.02033058e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.80701e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "542.914e0" ] . a it6:Run ; feo:runId "1609033f3cda4955a0c5752dba026593" ; it6:realizes "FPN" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_pastis_hd_pretrained_imagenet1K_FPN" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776634897161"^^ ; feo:endTime "1776641066909"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9599451e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.2451884e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5704669e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5525349e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1599461e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3990582e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2634065e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5319723e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5082813e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2577579e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6149672e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6149672e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.844241e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "6169.748e0" ] . a it6:Run ; feo:runId "1725c8341f894f5db6195504df99e934" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_pastis_hd_scratch_UnetPlusPlus" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "37" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776708185623"^^ ; feo:endTime "1776718394482"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9573934e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.1444788e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5431031e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5053539e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.09759942e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3727807e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1641434e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.506455e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4573915e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.1630487e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5854688e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5854688e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.70281e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "10208.86e0" ] . a it6:Run ; feo:runId "1f73ac92b14c43bba39f35578d62cc74" ; it6:realizes "PSPNet" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_pastis_hd_pretrained_imagenet1K_PSPNet" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "32" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776605446196"^^ ; feo:endTime "1776614922000"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9638641e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3356994e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6124919e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5972412e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.2201847e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.4414331e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.3699951e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5711615e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5531524e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3303711e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6602705e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6602705e0" ] ; feo:hasResourceEstimate [ feo:gflops "3.035509e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "9475.804e0" ] . a it6:Run ; feo:runId "374e9f0531ca4aa9a11f672da8877808" ; it6:realizes "HRNet" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_pastis_hd_scratch_HRNet" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "5" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776682513278"^^ ; feo:endTime "1776683974874"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9531419e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.1123586e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.497512e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.4442931e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.07387089e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3311254e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1114323e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4639403e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.3900205e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.1277106e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5363213e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5363213e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.73529e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1461.596e0" ] . a it6:Run ; feo:runId "3aa8200a8ea743adb8fb5943d65406cf" ; it6:realizes "UPerNet" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_pastis_hd_scratch_UPerNet" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776718407147"^^ ; feo:endTime "1776726550417"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9564957e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.2127789e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5334759e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5144435e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1360243e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3637689e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2227543e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4974774e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4713818e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.227576e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5750906e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5750906e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.21764e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8143.27e0" ] . a it6:Run ; feo:runId "400da4a4112f4afda467580b9b32ac4c" ; it6:realizes "SegFormer" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_pastis_hd_pretrained_imagenet1K_SegFormer" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "34" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776641080020"^^ ; feo:endTime "1776650996008"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9643068e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3341753e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6172399e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6089891e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.2234856e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.4463825e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.3361224e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5755891e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5662575e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3583304e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6653888e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6653888e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.602824e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "9915.988e0" ] . a it6:Run ; feo:runId "426a6134f7d04a4e8fe3b018da508e55" ; it6:realizes "Unet" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_pastis_hd_pretrained_imagenet1K_Unet" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "25" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776614933696"^^ ; feo:endTime "1776622399648"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9578535e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.1662054e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5480369e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5349845e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1147821e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3774455e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.162231e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5110559e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5029874e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.1942901e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5907875e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5907875e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.85348e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "7465.952e0" ] . a it6:Run ; feo:runId "46fd6b9c961449e9931d9e42291c4b69" ; it6:realizes "Unet" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_pastis_hd_scratch_Unet" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "42" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776697048401"^^ ; feo:endTime "1776708172506"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9557733e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.1466293e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5257293e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.4845685e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.09772987e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3566029e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1532412e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4902535e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4389958e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.1691021e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5667397e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5667397e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.85348e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "11124.1e0" ] . a it6:Run ; feo:runId "47b7ca1c08e7482bacc61f49ed102153" ; it6:realizes "SegFormer" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_pastis_hd_scratch_SegFormer" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776736868073"^^ ; feo:endTime "1776745845049"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9561836e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.2318753e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5301296e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5150088e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1475953e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3606641e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2502913e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4943569e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4739115e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2400353e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5714833e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5714833e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.602824e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8976.976e0" ] . a it6:Run ; feo:runId "5aa2d7e61780490f8c09660f787452e0" ; it6:realizes "HRNet" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_pastis_hd_pretrained_imagenet1K_HRNet" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "11" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776591526042"^^ ; feo:endTime "1776596105743"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9628188e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3017453e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6012824e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.600851e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.2011649e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.4298812e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2830023e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5607084e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5643853e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3369194e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6481865e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6481865e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.73529e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "4579.701e0" ] . a it6:Run ; feo:runId "5fd77e78a2c1430da16bad4ef2c18148" ; it6:realizes "MANet" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_pastis_hd_pretrained_imagenet1K_MANet" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "38" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776596119346"^^ ; feo:endTime "1776605431052"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9616053e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.1936143e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5882702e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5542957e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.134123e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.4167017e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2577303e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5485743e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5100027e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2219934e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6341593e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6341593e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.80701e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "9311.706e0" ] . a it6:Run ; feo:runId "694427cf5bb548eba982704e6ef90cd2" ; it6:realizes "PSPNet" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_pastis_hd_scratch_PSPNet" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "36" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776684544643"^^ ; feo:endTime "1776697035974"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9601081e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.285385e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5722145e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5558243e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1836048e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.4007706e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.3106039e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.533602e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5121095e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2875751e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6168511e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6168511e0" ] ; feo:hasResourceEstimate [ feo:gflops "3.035509e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "12491.33e0" ] . a it6:Run ; feo:runId "834db8d58aa044dba9b9998be1960f3d" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_pastis_hd_pretrained_imagenet1K_UnetPlusPlus" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "25" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776622411844"^^ ; feo:endTime "1776629920923"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9615206e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.1884491e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5873618e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5563599e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1300017e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.4157907e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1963534e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5477272e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5108032e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.228133e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.63318e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.63318e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.70281e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "7509.079e0" ] . a it6:Run ; feo:runId "8416401042d64e4c85a31fbf23b3cde4" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_pastis_hd_pretrained_imagenet1K_DeepLabV3Plus" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "23" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776579026811"^^ ; feo:endTime "1776586577273"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9607125e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.2444398e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5786955e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5601722e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1600162e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.407158e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2719017e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5396456e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5176857e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2545382e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6238377e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6238377e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.60669e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "7550.462e0" ] . a it6:Run ; feo:runId "85b5220e24c94e10949dbac9bc15bd49" ; it6:realizes "FPN" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_pastis_hd_scratch_FPN" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776726562578"^^ ; feo:endTime "1776736855037"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9554128e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.1629859e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5218634e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.4912339e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1057292e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.353055e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1751798e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4866486e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4441549e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.1757247e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5625723e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5625723e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.844241e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "10292.46e0" ] . a it6:Run ; feo:runId "9b838d177e5247a49e4469c317fbc51b" ; it6:realizes "UPerNet" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_pastis_hd_pretrained_imagenet1K_UPerNet" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776629933661"^^ ; feo:endTime "1776634885147"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9617413e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.2684339e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5897288e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5772337e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1768419e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.4181669e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2742934e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5499344e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5358223e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2894381e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6357316e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6357316e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.21764e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "4951.486e0" ] . a it6:Run ; feo:runId "dc8a7a4599ab45b3a8f92661e6750385" ; it6:realizes "FCN" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_pastis_hd_scratch_FCN" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "7" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776678653863"^^ ; feo:endTime "1776682499561"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9621657e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3013551e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5942791e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5838611e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1978275e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.4227576e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.297703e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5541777e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5429925e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3262811e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6406369e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6406369e0" ] ; feo:hasResourceEstimate [ feo:gflops "54.1115e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "3845.698e0" ] . a it6:Run ; feo:runId "ec6b901a333b46c0b27644721361b420" ; it6:realizes "FCN" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_pastis_hd_pretrained_imagenet1K_FCN" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776586589861"^^ ; feo:endTime "1776591512961"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.959877e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.2782973e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5697367e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5703751e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1810247e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3983439e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2664034e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5312913e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5353355e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.309391e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.61418e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.61418e0" ] ; feo:hasResourceEstimate [ feo:gflops "56.53896e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "4923.1e0" ] . a it6:Run ; feo:runId "f26de4288d5644e8ad30fda215fb12fc" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "pastis_hd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_pastis_hd_scratch_DeepLabV3Plus" ; feo:experimentId "148001039364097661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "32" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776667746541"^^ ; feo:endTime "1776678640588"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9556505e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.1888105e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5244132e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.4999026e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1197803e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.355393e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2201845e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4890263e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4594576e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.1933042e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.565321e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.565321e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.60669e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "10894.05e0" ] . a it6:Run ; feo:runId "005a30fea3bb414bb160ad30cb395a6f" ; it6:realizes "DenseNet161" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_firerisk_scratch_DenseNet161" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1768468561777"^^ ; feo:endTime "1768654347233"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9407942e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9344558e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9407942e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9405189e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9249317e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9371284e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9407942e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9404321e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9319359e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9407942e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9407942e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784651e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "185785.5e0" ] . a it6:Run ; feo:runId "051c5f7fa3784401a03cda677897d174" ; it6:realizes "AlexNet" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_firerisk_scratch_AlexNet" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "99" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1768136427843"^^ ; feo:endTime "1768293502482"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8335585e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8158542e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8335585e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8316083e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7886011e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8209649e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8335585e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8332589e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8141333e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8335585e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8335585e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101304e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "157074.6e0" ] . a it6:Run ; feo:runId "0e6a2a0dc32741538084150c5754e0b9" ; it6:realizes "SwinTransformer" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_firerisk_pretrained_imagenet1K_SwinTransformer" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "95" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772520817164"^^ ; feo:endTime "1772671479997"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9999716e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9999568e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9999716e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9999716e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.999964e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.999943e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9999716e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9999716e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9999707e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9999716e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9999716e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720902e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "150662.8e0" ] . a it6:Run ; feo:runId "167fdfb50b8947ecadb73cdde858d8d0" ; it6:realizes "VisionTransformer" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_firerisk_pretrained_imagenet1K_VisionTransformer" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772792729482"^^ ; feo:endTime "1772911676908"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "1.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "118947.4e0" ] . a it6:Run ; feo:runId "4b32931edcf54e04976fbd2c40f6263e" ; it6:realizes "DenseNet161" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_firerisk_pretrained_imagenet1K_DenseNet161" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "98" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771891448859"^^ ; feo:endTime "1772018854182"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "1.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784651e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "127405.3e0" ] . a it6:Run ; feo:runId "4d9d4b3d189144a49e0cd57d40e2d170" ; it6:realizes "VGG16" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_firerisk_pretrained_imagenet1K_VGG16" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "99" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772671493830"^^ ; feo:endTime "1772792710706"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9997156e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9996781e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9997156e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9997156e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9996401e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9996109e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9997156e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9997157e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9997454e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9997156e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9997156e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46622e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "121216.9e0" ] . a it6:Run ; feo:runId "53ec06807de64fdab9443496cfe47aeb" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_firerisk_scratch_ConvNeXtTiny" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1768293516542"^^ ; feo:endTime "1768468550873"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9224097e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9107804e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9224097e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9222637e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9016331e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9187057e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9224097e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9226524e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9041648e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9224097e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9224097e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469675e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "175034.3e0" ] . a it6:Run ; feo:runId "54141330e0714a7ebe4c0a0e60fe8453" ; it6:realizes "MLPMixer" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_firerisk_pretrained_imagenet1K_MLPMixer" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "98" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772130543374"^^ ; feo:endTime "1772252882155"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "1.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "122338.8e0" ] . a it6:Run ; feo:runId "561f176b712a4dfe8d8461e9865231cb" ; it6:realizes "ResNet50" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_firerisk_pretrained_imagenet1K_ResNet50" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "96" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772369358832"^^ ; feo:endTime "1772520802831"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9999289e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9998917e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9999289e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9999289e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.99991e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9998683e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9999289e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9999289e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9999151e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9999289e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9999289e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109479e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "151444.0e0" ] . a it6:Run ; feo:runId "5b2c266cb46b48f68d98f77960e995ba" ; it6:realizes "EfficientNetB0" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_firerisk_scratch_EfficientNetB0" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1768654358036"^^ ; feo:endTime "1768836215952"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7811776e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7551254e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7811776e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.778927e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7222578e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7571981e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7811776e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7775746e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7538667e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7811776e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7811776e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4003884e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "181857.9e0" ] . a it6:Run ; feo:runId "682cfa54d9c14cdf928f938610112cd4" ; it6:realizes "ResNet152" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_firerisk_pretrained_imagenet1K_ResNet152" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772252895740"^^ ; feo:endTime "1772369346149"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9998578e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9998449e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9998578e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9998578e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9998201e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9998424e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9998578e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9998578e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9998475e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9998578e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9998578e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.5568e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "116450.4e0" ] . a it6:Run ; feo:runId "6dd4f5f7b10c4ba59259444ceb9aa1b7" ; it6:realizes "VisionTransformer" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_firerisk_scratch_VisionTransformer" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "98" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769546342771"^^ ; feo:endTime "1769711475354"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9774495e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9749011e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9774495e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9774493e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9714536e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9747806e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9774495e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9774762e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9750503e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9774495e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9774495e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "165132.6e0" ] . a it6:Run ; feo:runId "9719015ed8634ff69db6f8431e9f8f17" ; it6:realizes "EfficientNetB0" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_firerisk_pretrained_imagenet1K_EfficientNetB0" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "99" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772018866554"^^ ; feo:endTime "1772130532080"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9999716e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9999545e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9999716e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9999716e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.999964e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9999755e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9999716e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9999716e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9999336e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9999716e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9999716e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4003884e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "111665.5e0" ] . a it6:Run ; feo:runId "9fd70e7a4f874d02800a697776e9d5e2" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_firerisk_pretrained_imagenet1K_ConvNeXtTiny" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771763193358"^^ ; feo:endTime "1771891436880"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "1.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469675e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "128243.5e0" ] . a it6:Run ; feo:runId "b3053a1ea98f49d9b121a6bbaecdae8d" ; it6:realizes "ResNet50" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_firerisk_scratch_ResNet50" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "98" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1767616642220"^^ ; feo:endTime "1767808625357"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7281569e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6975481e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7281569e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.722544e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.653411e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7031494e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7281569e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7213183e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.695593e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7281569e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7281569e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109479e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "191983.1e0" ] . a it6:Run ; feo:runId "ba772a31df9349eeb40cb9bacf80f929" ; it6:realizes "MLPMixer" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_firerisk_scratch_MLPMixer" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1768836226594"^^ ; feo:endTime "1769017862855"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9999431e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9999432e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9999431e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9999431e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.999928e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9999469e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9999431e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9999431e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9999394e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9999431e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9999431e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "181636.3e0" ] . a it6:Run ; feo:runId "cff71d10cb024c79b6a48e12884fb9f6" ; it6:realizes "VGG16" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_firerisk_scratch_VGG16" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "98" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769375403101"^^ ; feo:endTime "1769546325855"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9572024e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9519335e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9572024e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9571471e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.945791e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9541164e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9572024e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.957247e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9499664e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9572024e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9572024e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46622e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "170922.8e0" ] . a it6:Run ; feo:runId "d008233e983a496eb220385a13eb2a16" ; it6:realizes "AlexNet" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_firerisk_pretrained_imagenet1K_AlexNet" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771654595864"^^ ; feo:endTime "1771763180508"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9750181e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9709993e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9750181e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9749972e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9683794e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9697501e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9750181e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9750499e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9723617e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9750181e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9750181e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101304e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "108584.6e0" ] . a it6:Run ; feo:runId "d8533d6a081d4db2af75f83d532b6611" ; it6:realizes "ResNet152" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_firerisk_scratch_ResNet152" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "94" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769017874980"^^ ; feo:endTime "1769196530226"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.6470546e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.604255e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6470546e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6390058e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5489422e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6121797e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6470546e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6362344e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6008652e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6470546e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6470546e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.5568e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "178655.2e0" ] . a it6:Run ; feo:runId "e7c451b052e645f3908d96c693576034" ; it6:realizes "SwinTransformer" ; feo:onDataset "firerisk" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_firerisk_scratch_SwinTransformer" ; feo:experimentId "154589806555313383" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769196543887"^^ ; feo:endTime "1769375390530"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8010266e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7775274e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8010266e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7986919e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7474544e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.78523e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8010266e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8001489e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7758863e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8010266e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8010266e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720902e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "178846.6e0" ] . a it6:Run ; feo:runId "011606c0cd6b4440ac29676f773ae5be" ; it6:realizes "HRNet" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whdld_scratch_HRNet" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765433641046"^^ ; feo:endTime "1765435727444"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.945712e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.606792e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8099921e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8074622e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4908676e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6806611e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6245084e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8099921e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8065785e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5926865e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8099921e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8099921e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.68396e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2086.398e0" ] . a it6:Run ; feo:runId "11e7160a68414575b709fe2cab3f6b13" ; it6:realizes "SegFormer" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whdld_scratch_SegFormer" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "30" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1766405673718"^^ ; feo:endTime "1766411737217"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9389202e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5821638e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7862209e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7850327e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4625209e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6477462e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5990031e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7862209e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7857247e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5691591e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7862209e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7862209e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.585785e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "6063.499e0" ] . a it6:Run ; feo:runId "1c0c2c9adeab4732adda1e0dbc394c94" ; it6:realizes "FCN" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whdld_pretrained_imagenet1K_FCN" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "12" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773211725821"^^ ; feo:endTime "1773212466481"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9484863e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6252435e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8197019e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8191023e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5120116e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6944872e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6315453e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8197019e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8204251e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6235354e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8197019e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8197019e0" ] ; feo:hasResourceEstimate [ feo:gflops "56.52873e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "740.66e0" ] . a it6:Run ; feo:runId "2852bf795ceb4c9bb609dc321bebf456" ; it6:realizes "PSPNet" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whdld_scratch_PSPNet" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "50" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765435729145"^^ ; feo:endTime "1765437713403"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9444156e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6083798e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8054547e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8052361e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4908403e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6742773e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6152833e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8054547e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.805595e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6029439e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8054547e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8054547e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.970759e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1984.258e0" ] . a it6:Run ; feo:runId "297624d0ceec4843896d760a8af477bf" ; it6:realizes "SegFormer" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whdld_pretrained_imagenet1K_SegFormer" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773222729713"^^ ; feo:endTime "1773224276897"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9526003e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6448735e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8341009e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8343716e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5341565e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7154143e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6463718e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8341009e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8347476e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6435988e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8341009e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8341009e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.585785e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1547.184e0" ] . a it6:Run ; feo:runId "4eaab2e6ba95429cb8e1a451d6559013" ; it6:realizes "Unet" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whdld_scratch_Unet" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765437714125"^^ ; feo:endTime "1765439295240"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.946988e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6110976e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8144581e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8126381e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4964905e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6869923e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6196888e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8144581e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8120322e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6048208e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8144581e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8144581e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.7308e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1581.115e0" ] . a it6:Run ; feo:runId "51762c5c24ab44b8b57f5b9017df60cc" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whdld_pretrained_imagenet1K_UnetPlusPlus" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "11" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773218957670"^^ ; feo:endTime "1773219841787"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9519846e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.640529e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8319462e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8333099e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5297453e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7122499e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6415989e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8319462e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8358564e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6422393e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8319462e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8319462e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.58013e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "884.117e0" ] . a it6:Run ; feo:runId "5e7c4f3e0d7d4335b24cf650199e9bb1" ; it6:realizes "FCN" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whdld_scratch_FCN" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765432724914"^^ ; feo:endTime "1765433639363"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9510555e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6386889e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8286943e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8282275e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.526486e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7074961e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6465252e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8286943e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8286643e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6334986e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8286943e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8286943e0" ] ; feo:hasResourceEstimate [ feo:gflops "54.10128e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "914.449e0" ] . a it6:Run ; feo:runId "9fe0a9de99534a3ebb77e18545db87ed" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whdld_scratch_UnetPlusPlus" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "33" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765439296538"^^ ; feo:endTime "1765441490233"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9504804e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6269827e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8266813e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8257188e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5142096e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7045667e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6382431e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8266813e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8254014e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.61715e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8266813e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8266813e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.58013e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2193.695e0" ] . a it6:Run ; feo:runId "ade581fe06ba46dbb2bea351f5b3a5fa" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whdld_scratch_DeepLabV3Plus" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "37" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765430697928"^^ ; feo:endTime "1765432722966"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9387959e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5603101e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7857856e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7818496e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4425169e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6471556e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5929066e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7857856e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7829857e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5411341e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7857856e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7857856e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.58965e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2025.038e0" ] . a it6:Run ; feo:runId "b81483f9d5214d6d9eacdf48e8942175" ; it6:realizes "UPerNet" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whdld_scratch_UPerNet" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "39" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765441491864"^^ ; feo:endTime "1765443105337"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9439546e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5943275e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8038411e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8008604e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4775512e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6720186e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6139273e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8038411e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8000052e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5793487e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8038411e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8038411e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.2006e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1613.473e0" ] . a it6:Run ; feo:runId "be495f66bfb04bb09729f1c867e7fe37" ; it6:realizes "Unet" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whdld_pretrained_imagenet1K_Unet" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773217835142"^^ ; feo:endTime "1773218944924"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9504436e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6352653e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8265527e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8266582e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5231592e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.70438e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6328387e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8265527e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8269419e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6381159e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8265527e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8265527e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.7308e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1109.782e0" ] . a it6:Run ; feo:runId "c8d3e4a196fd4b44834205b0ace393a7" ; it6:realizes "FPN" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whdld_scratch_FPN" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "38" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765443106581"^^ ; feo:endTime "1765445065764"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9417076e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5874349e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7959766e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7923175e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4689461e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6610973e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6069011e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7959766e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7909554e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5718019e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7959766e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7959766e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.834018e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1959.183e0" ] . a it6:Run ; feo:runId "d24785015b1e46e3b917f8982345de52" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whdld_pretrained_imagenet1K_DeepLabV3Plus" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "22" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773210652955"^^ ; feo:endTime "1773211713549"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9499245e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6313142e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8247359e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.824136e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5181618e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7017452e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6465154e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8247359e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8251527e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6206844e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8247359e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8247359e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.58965e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1060.594e0" ] . a it6:Run ; feo:runId "d79e468472e24c76bbe8ea34884f4c72" ; it6:realizes "MANet" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whdld_pretrained_imagenet1K_MANet" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "30" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773213261832"^^ ; feo:endTime "1773215305047"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9515986e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6375556e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8305951e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8304547e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5258497e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7102716e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6458381e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8305951e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8308182e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6303904e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8305951e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8305951e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.68433e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2043.215e0" ] . a it6:Run ; feo:runId "d9e8d33a90464a69b9f9089a40adb902" ; it6:realizes "HRNet" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whdld_pretrained_imagenet1K_HRNet" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773212479707"^^ ; feo:endTime "1773213248558"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9534748e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6462497e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8371617e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.835897e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5363253e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7199296e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6539219e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8371617e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8356398e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6395465e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8371617e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8371617e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.68396e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "768.851e0" ] . a it6:Run ; feo:runId "df609ddd0729457f9f34b31246efd18d" ; it6:realizes "PSPNet" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whdld_pretrained_imagenet1K_PSPNet" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "27" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773215320531"^^ ; feo:endTime "1773217822433"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9458427e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6167717e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8104494e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.810569e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5002795e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6813072e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6212562e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8104494e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8110888e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.613045e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8104494e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8104494e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.970759e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2501.902e0" ] . a it6:Run ; feo:runId "e8180d5f4b7c48049340e89f5c17f151" ; it6:realizes "MANet" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whdld_scratch_MANet" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "58" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1768208588503"^^ ; feo:endTime "1768215955852"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9405696e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5880294e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7919935e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7933042e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4690698e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6556202e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5904771e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7919935e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7950505e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5862599e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7919935e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7919935e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.68433e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "7367.349e0" ] . a it6:Run ; feo:runId "e91da896c8794160ad27d1717ce81622" ; it6:realizes "FPN" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whdld_pretrained_imagenet1K_FPN" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773221033798"^^ ; feo:endTime "1773222716415"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9489858e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6286739e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8214503e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8209474e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5148039e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.697001e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6395839e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8214503e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8214379e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.620419e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8214503e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8214503e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.834018e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1682.617e0" ] . a it6:Run ; feo:runId "eaa45e8e0c864765ba31fe04ad5b07f6" ; it6:realizes "UPerNet" ; feo:onDataset "whdld" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whdld_pretrained_imagenet1K_UPerNet" ; feo:experimentId "168532127364712876" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "15" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773219854985"^^ ; feo:endTime "1773221021484"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9494943e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6319814e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8232302e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8231993e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5187544e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6995677e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6312147e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8232302e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8233225e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.63294e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8232302e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8232302e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.2006e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1166.499e0" ] . a it6:Run ; feo:runId "13aa5b309efc4867ad7f2626973c73af" ; it6:realizes "ResNet152" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_scratch_ResNet152" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "46" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765358288829"^^ ; feo:endTime "1765362929256"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9147809e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7708924e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9147809e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.91312e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5418879e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7820632e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9147809e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9117519e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7608939e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9147809e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9147809e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55679e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "4640.427e0" ] . a it6:Run ; feo:runId "15d1de16a859460ea4ac3c0eac05296d" ; it6:realizes "ResNet152" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_pretrained_imagenet1K_ResNet152" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "2" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770810700447"^^ ; feo:endTime "1770811276438"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.917429e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7791435e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.917429e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9160407e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5583615e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7889948e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.917429e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9148758e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7701878e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.917429e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.917429e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55679e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "575.991e0" ] . a it6:Run ; feo:runId "29600cb4a3734280b0e390cecafedc85" ; it6:realizes "AlexNet" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_scratch_AlexNet" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "48" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765283369626"^^ ; feo:endTime "1765313278566"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9229658e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8010123e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9229658e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9230408e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.6020248e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8004278e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9229658e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9231166e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8016001e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9229658e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9229658e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101099e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "29908.94e0" ] . a it6:Run ; feo:runId "2b135d0788f948f8a9bd911039f697e6" ; it6:realizes "VGG16" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_scratch_VGG16" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "32" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765376657548"^^ ; feo:endTime "1765379993508"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.923688e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8045878e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.923688e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.924092e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.6091825e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8014109e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.923688e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9245203e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8078618e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.923688e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.923688e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.4662e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3335.96e0" ] . a it6:Run ; feo:runId "4dcf67e629af45c28e2e16b33c4990e0" ; it6:realizes "AlexNet" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_pretrained_imagenet1K_AlexNet" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "5" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770806875484"^^ ; feo:endTime "1770807513674"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.923688e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7933533e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.923688e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9219102e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5868379e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.807959e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.923688e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9205733e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7805304e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.923688e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.923688e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101099e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "638.19e0" ] . a it6:Run ; feo:runId "51b219c347c5491db6812ee35c42624e" ; it6:realizes "VisionTransformer" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_scratch_VisionTransformer" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "50" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765379997834"^^ ; feo:endTime "1765388690627"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.92104e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7907186e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.92104e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9200858e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5814743e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7979911e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.92104e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9192512e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7839261e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.92104e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.92104e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "8692.793e0" ] . a it6:Run ; feo:runId "5452cb48ba7847169a05015dc51e389e" ; it6:realizes "SwinTransformer" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_pretrained_imagenet1K_SwinTransformer" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "3" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770811852418"^^ ; feo:endTime "1770813148292"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9263361e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8210975e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9263361e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9285822e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.6424276e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8031339e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9263361e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9317099e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8425348e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9263361e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9263361e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720898e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1295.874e0" ] . a it6:Run ; feo:runId "660974af51b84053b1556776f16a130f" ; it6:realizes "VGG16" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_pretrained_imagenet1K_VGG16" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "12" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770813161673"^^ ; feo:endTime "1770814095097"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9251324e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8186619e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9251324e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9275073e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.6375802e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8001834e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9251324e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9308338e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8408837e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9251324e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9251324e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.4662e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "933.424e0" ] . a it6:Run ; feo:runId "69c69316837f4073abe50c753d7fd5c7" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_scratch_ConvNeXtTiny" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "66" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765313280681"^^ ; feo:endTime "1765337969633"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9215214e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7915749e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9215214e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9204914e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5831931e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7995207e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9215214e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9196025e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7841961e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9215214e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9215214e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469671e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "24688.95e0" ] . a it6:Run ; feo:runId "762bb28cda7c4240a8d4ed2b6a1b437c" ; it6:realizes "DenseNet161" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_scratch_DenseNet161" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "27" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765337971120"^^ ; feo:endTime "1765343207404"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.920077e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7806162e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.920077e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9176348e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5614671e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.799338e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.920077e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.915921e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7648398e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.920077e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.920077e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.78464e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "5236.284e0" ] . a it6:Run ; feo:runId "7f680df684724ca09a47ab9853bad49c" ; it6:realizes "MLPMixer" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_scratch_MLPMixer" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "98" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765346385667"^^ ; feo:endTime "1765358285661"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9169475e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7708175e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9169475e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9141721e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5419258e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7907522e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9169475e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9122432e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7542999e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9169475e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9169475e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "11899.99e0" ] . a it6:Run ; feo:runId "8d520b2ded214d6da93784d442f7177f" ; it6:realizes "EfficientNetB0" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_scratch_EfficientNetB0" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "10" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765343208054"^^ ; feo:endTime "1765346384886"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8957631e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5222354e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8957631e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8531527e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.08704409e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8354354e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8957631e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8834086e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5257217e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8957631e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8957631e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.400382e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3176.832e0" ] . a it6:Run ; feo:runId "b4038123d2414d8887789f5bb1bb92a9" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_pretrained_imagenet1K_ConvNeXtTiny" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "5" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770807525373"^^ ; feo:endTime "1770808367981"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9260953e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.817392e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9260953e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9277573e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.6349095e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8039962e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9260953e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9298867e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8326386e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9260953e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9260953e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469671e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "842.608e0" ] . a it6:Run ; feo:runId "b4fd71dfc10645b5b9497f64948a27db" ; it6:realizes "VisionTransformer" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_pretrained_imagenet1K_VisionTransformer" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "3" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770814109341"^^ ; feo:endTime "1770815462117"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.923688e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8103987e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.923688e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9252051e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.6208983e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7987335e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.923688e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9270801e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8234797e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.923688e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.923688e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1352.776e0" ] . a it6:Run ; feo:runId "b7acd33bd9ef48eb93c8612d5d596687" ; it6:realizes "SwinTransformer" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_scratch_SwinTransformer" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "64" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765366344933"^^ ; feo:endTime "1765376654469"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9220029e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7957347e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9220029e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.921539e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5914783e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7993129e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9220029e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9211046e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.792275e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9220029e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9220029e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720898e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "10309.54e0" ] . a it6:Run ; feo:runId "cb61b1734d1b4c34993c6aa6a04ed1de" ; it6:realizes "ResNet50" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_pretrained_imagenet1K_ResNet50" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "3" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770811288773"^^ ; feo:endTime "1770811840525"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9217622e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7957115e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9217622e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9214145e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5914281e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7983731e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9217622e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9210834e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7931162e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9217622e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9217622e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109469e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "551.752e0" ] . a it6:Run ; feo:runId "d2616ec146dc40f79baec07994916746" ; it6:realizes "ResNet50" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_scratch_ResNet50" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "36" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765362931166"^^ ; feo:endTime "1765366343638"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9188734e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7798596e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9188734e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9168941e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5598721e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7945061e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9188734e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9153816e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7670932e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9188734e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9188734e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109469e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3412.472e0" ] . a it6:Run ; feo:runId "d5564b5783ac488b9206837a6329d03b" ; it6:realizes "DenseNet161" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_pretrained_imagenet1K_DenseNet161" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "3" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770808379094"^^ ; feo:endTime "1770809056680"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9217622e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7841035e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9217622e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9191476e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5684808e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8049994e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9217622e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9174095e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7667609e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9217622e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9217622e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.78464e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "677.586e0" ] . a it6:Run ; feo:runId "f4fe962c9c8147858d82ec09a074fdba" ; it6:realizes "EfficientNetB0" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_pretrained_imagenet1K_EfficientNetB0" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "6" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770809067263"^^ ; feo:endTime "1770809778284"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9241695e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8105428e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9241695e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9254763e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.6211608e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.800349e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9241695e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9270508e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8217975e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9241695e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9241695e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.400382e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "711.021e0" ] . a it6:Run ; feo:runId "f7ddd3fcec204a9da46a53acbabf7853" ; it6:realizes "MLPMixer" ; feo:onDataset "wids_datathon_2019" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_wids_datathon_2019_pretrained_imagenet1K_MLPMixer" ; feo:experimentId "195051611320956853" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770809789767"^^ ; feo:endTime "1770810688269"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9234473e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8026402e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9234473e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.923596e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.6052813e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.801471e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9234473e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9237479e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8038223e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9234473e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9234473e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "898.502e0" ] . a it6:Run ; feo:runId "155b26d44d6e4708bc4e504630bc786f" ; it6:realizes "HRNet" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sen12ms_pretrained_imagenet1K_HRNet" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "44" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1777827250850"^^ ; feo:endTime "1777960928406"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9904773e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8486505e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9142957e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9142946e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7734512e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8421221e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8497567e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9142957e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9143839e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8481015e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9142957e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9142957e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.72739e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "133677.6e0" ] . a it6:Run ; feo:runId "1c20665892e64115be51dc02f3750331" ; it6:realizes "Unet" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sen12ms_scratch_Unet" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "59" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770327646792"^^ ; feo:endTime "1770569008272"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9806603e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7074746e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8259423e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8258917e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5963351e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7034938e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7411285e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8259423e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8276223e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6828308e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8259423e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8259423e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.83461e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "241361.5e0" ] . a it6:Run ; feo:runId "1ff21a2c605f4205b4992475a7945c3d" ; it6:realizes "PSPNet" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sen12ms_scratch_PSPNet" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "66" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769764870757"^^ ; feo:endTime "1770327633505"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.97831e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6873634e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.80479e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8046858e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5660501e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6733461e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7033165e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.80479e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8048389e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6809384e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.80479e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.80479e0" ] ; feo:hasResourceEstimate [ feo:gflops "3.025548e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "562762.7e0" ] . a it6:Run ; feo:runId "4ad7c52876604c80bb2af6cc84ea709a" ; it6:realizes "MANet" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sen12ms_scratch_MANet" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "99" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769001503334"^^ ; feo:endTime "1769764851999"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9761698e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6537448e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.785528e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7865709e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5335761e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6468062e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6407588e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.785528e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7888593e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6724204e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.785528e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.785528e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.78814e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "763348.7e0" ] . a it6:Run ; feo:runId "4e550a6d57fc42cbbbefb77d4567084e" ; it6:realizes "HRNet" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sen12ms_scratch_HRNet" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "86" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1768227797789"^^ ; feo:endTime "1769001486573"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9858872e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8049504e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8729846e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.872518e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7066186e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7745987e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8330706e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8729846e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8730513e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.782671e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8729846e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8729846e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.72739e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "773688.8e0" ] . a it6:Run ; feo:runId "5429e73bcf60488aa88809b088b3c880" ; it6:realizes "SegFormer" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sen12ms_scratch_SegFormer" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "70" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771930274583"^^ ; feo:endTime "1772297599773"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9850488e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7943729e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8654388e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8652136e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.69178e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.762796e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8074814e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8654388e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8651842e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.782967e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8654388e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8654388e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.600203e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "367325.2e0" ] . a it6:Run ; feo:runId "56acfe0f666d4a80b461b2bca94bbb87" ; it6:realizes "PSPNet" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sen12ms_pretrained_imagenet1K_PSPNet" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "64" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1777965503655"^^ ; feo:endTime "1778190828401"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9823344e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7542654e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8410099e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8407413e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6391e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7256402e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7602452e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8410099e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8409245e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7495591e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8410099e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8410099e0" ] ; feo:hasResourceEstimate [ feo:gflops "3.025548e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "225324.7e0" ] . a it6:Run ; feo:runId "59a249cbb98c45bcad430deaa1311ef9" ; it6:realizes "FCN" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sen12ms_scratch_FCN" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "80" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1766961414097"^^ ; feo:endTime "1767545508172"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9922518e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8681831e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9302661e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9301832e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8056067e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8696239e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8723104e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9302661e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9302375e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8645718e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9302661e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9302661e0" ] ; feo:hasResourceEstimate [ feo:gflops "54.10993e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "584094.1e0" ] . a it6:Run ; feo:runId "60d01b673cde4ee6b3f8d7d90b2495dc" ; it6:realizes "UPerNet" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sen12ms_pretrained_imagenet1K_UPerNet" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "64" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1778733399390"^^ ; feo:endTime "1778967936922"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9913252e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8566581e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9219266e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9217837e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7865791e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8551612e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8685062e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9219266e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9218296e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.845866e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9219266e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9219266e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.21502e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "234537.5e0" ] . a it6:Run ; feo:runId "77e38a1fe06b4ee59a00dfb5db828033" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sen12ms_scratch_UnetPlusPlus" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "97" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770569023008"^^ ; feo:endTime "1771037985317"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9849224e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7654476e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8643014e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8641411e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.663016e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7610307e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7902016e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8643014e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8655748e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7714508e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8643014e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8643014e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.68394e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "468962.3e0" ] . a it6:Run ; feo:runId "7f3ac109bf0049a6bd5bb478a82ca4db" ; it6:realizes "SegFormer" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sen12ms_pretrained_imagenet1K_SegFormer" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "95" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1779130649499"^^ ; feo:endTime "1779357893740"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9905994e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8500469e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.915395e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9153052e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7760265e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8439892e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8574788e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.915395e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9152645e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8431364e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.915395e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.915395e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.600203e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "227244.2e0" ] . a it6:Run ; feo:runId "895448ea0d1248298d84625c051b5316" ; it6:realizes "MANet" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sen12ms_pretrained_imagenet1K_MANet" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1777960952964"^^ ; feo:endTime "1777965479830"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8888889e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.78814e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "4526.866e0" ] . a it6:Run ; feo:runId "a3e49400a58f4e54b7e355c631860139" ; it6:realizes "FPN" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sen12ms_pretrained_imagenet1K_FPN" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "62" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1778967958899"^^ ; feo:endTime "1779130625749"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9897665e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.834113e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9078985e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9077749e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7515228e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8313316e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8457989e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9078985e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9077678e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8240885e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9078985e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9078985e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.842669e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "162666.9e0" ] . a it6:Run ; feo:runId "a48cd7cd10b644d2ab50981b1c73223e" ; it6:realizes "FPN" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sen12ms_scratch_FPN" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "82" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771509004822"^^ ; feo:endTime "1771930258762"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9849849e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7882983e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.864864e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8645081e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6833493e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7619035e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8095109e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.864864e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8650365e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.771138e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.864864e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.864864e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.842669e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "421253.9e0" ] . a it6:Run ; feo:runId "ae7a52ad15044752a4505f45b094916b" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sen12ms_scratch_DeepLabV3Plus" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "61" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1766570766362"^^ ; feo:endTime "1766961399920"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.980788e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.722677e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8270921e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8257899e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6010121e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7051637e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7805134e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8270921e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8274682e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6881626e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8270921e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8270921e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.60407e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "390633.6e0" ] . a it6:Run ; feo:runId "b0acffd26eea4afa843d33239af108c4" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sen12ms_pretrained_imagenet1K_DeepLabV3Plus" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "3" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1777625494157"^^ ; feo:endTime "1777634988917"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9778747e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6558385e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8008721e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8014608e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5382422e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6678788e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6334725e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8008721e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8039365e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6993267e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8008721e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8008721e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.60407e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "9494.76e0" ] . a it6:Run ; feo:runId "b65a73b8cc6946678fd6d4b442aebce1" ; it6:realizes "Unet" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sen12ms_pretrained_imagenet1K_Unet" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "58" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1778190850088"^^ ; feo:endTime "1778490406252"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9893815e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.813697e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9044338e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9042605e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7302442e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.82554e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8141823e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9044338e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9043345e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8298054e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9044338e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9044338e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.83461e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "299556.2e0" ] . a it6:Run ; feo:runId "bf91318b7d494476af898d1a28fac920" ; it6:realizes "FCN" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sen12ms_pretrained_imagenet1K_FCN" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "76" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1777635011974"^^ ; feo:endTime "1777827226709"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9914945e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8613912e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9234506e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.923342e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7942666e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8577875e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8704409e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9234506e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.923414e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8531791e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9234506e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9234506e0" ] ; feo:hasResourceEstimate [ feo:gflops "56.53738e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "192214.7e0" ] . a it6:Run ; feo:runId "c1935c61dddf44ccbc86f78a700818ea" ; it6:realizes "UPerNet" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sen12ms_scratch_UPerNet" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "68" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771038001100"^^ ; feo:endTime "1771508990467"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9866963e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8077802e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8802665e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8799553e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7106703e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7861392e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8417707e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8802665e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8805982e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.781226e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8802665e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8802665e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.21502e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "470989.4e0" ] . a it6:Run ; feo:runId "eb6a191662e941729c915a5a46df33b5" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "sen12ms" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sen12ms_pretrained_imagenet1K_UnetPlusPlus" ; feo:experimentId "231186619657776295" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "81" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1778490429844"^^ ; feo:endTime "1778733375729"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9898939e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.823406e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.909045e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9088887e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7423163e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8332562e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8262241e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.909045e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9090414e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8335051e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.909045e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.909045e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.68394e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "242945.9e0" ] . a it6:Run ; feo:runId "0c5d8a94e1f945788f50c6e8fdc70873" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msoscd_scratch_UnetChangeDetection" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "23" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785212411011"^^ ; feo:endTime "1785213153236"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8931039e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7938961e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.891909e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8853807e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6816564e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8049059e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8484814e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9019916e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8952424e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7566936e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8820493e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8820493e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "742.225e0" ] . a it6:Run ; feo:runId "232c15d34b524a0ca1ba77b86d483d76" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_msoscd_pretrained_imagenet1K_UnetChangeDetection" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "20" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786021018109"^^ ; feo:endTime "1786021699177"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9412322e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8948369e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9409654e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.939668e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8169261e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8885125e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9178157e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9452558e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.943748e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8748527e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9367138e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9367138e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "681.068e0" ] . a it6:Run ; feo:runId "3a21a4beb7cd400f8c52208bca9cf73f" ; it6:realizes "TinyCD" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msoscd_scratch_TinyCD" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "42" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785211262218"^^ ; feo:endTime "1785212400765"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8628873e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7198766e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8594273e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8466102e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.600324e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.753505e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8022457e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8816764e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8680266e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6734854e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8382734e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8382734e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1138.547e0" ] . a it6:Run ; feo:runId "57d08251166d47dda3983e420307aced" ; it6:realizes "BIT" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msoscd_scratch_BIT" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "26" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785200525230"^^ ; feo:endTime "1785201334767"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8837332e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7759778e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8822571e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8749871e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6602572e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7893202e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8310912e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8936018e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8855077e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7388875e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8711968e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8711968e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "809.537e0" ] . a it6:Run ; feo:runId "6303526816824785a366b9a6fbb75cc9" ; it6:realizes "CSSM" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msoscd_scratch_CSSM" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "4" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785205036665"^^ ; feo:endTime "1785206111946"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.844915e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6417884e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8446561e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8150968e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5329527e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7310863e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7647399e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8460686e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8253566e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6140944e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8432483e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8432483e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.776941e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1075.281e0" ] . a it6:Run ; feo:runId "7a693b5e44ab41bfb2b7b2e28da51228" ; it6:realizes "ChangeViT" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_msoscd_pretrained_imagenet1K_ChangeViT" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "20" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786015139207"^^ ; feo:endTime "1786016362940"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9190257e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8665957e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9178674e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9183086e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.773534e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8482023e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8747265e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9311885e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9321834e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8587626e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9049219e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9049219e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1223.733e0" ] . a it6:Run ; feo:runId "98caa4d474384d41bc3d2ee190c53ed5" ; it6:realizes "CGNet" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_msoscd_pretrained_imagenet1K_CGNet" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786012156988"^^ ; feo:endTime "1786012205334"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8356671e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7092551e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8323009e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.828247e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5820449e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.71277e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7374374e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8497063e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8424045e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6851238e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8155942e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8155942e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "48.346e0" ] . a it6:Run ; feo:runId "9ecca935c9f9472aafb59ccf5221c83c" ; it6:realizes "STANet" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msoscd_scratch_STANet" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "18" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785210132217"^^ ; feo:endTime "1785211251903"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8661675e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.728363e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8640817e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8516252e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6093859e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7606901e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8032761e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8777618e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8650739e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6870803e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8508215e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8508215e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1119.686e0" ] . a it6:Run ; feo:runId "9f7f2bd60ebb4c1b85c20216d7bf550a" ; it6:realizes "SiamCRNN" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msoscd_scratch_SiamCRNN" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "38" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785209119731"^^ ; feo:endTime "1785210120530"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9071918e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8292924e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9062446e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9028395e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7248498e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8285623e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8662415e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9155897e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9113682e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7999112e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8970882e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8970882e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1000.799e0" ] . a it6:Run ; feo:runId "ae685faf0e3b4faaad07aed990ef6a04" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_msoscd_pretrained_imagenet1K_HRNetChangeDetection" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786016373994"^^ ; feo:endTime "1786017966241"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9270147e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8661046e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9264374e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9239766e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7750256e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8629561e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.90106e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9338245e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9312376e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8377544e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9191663e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9191663e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1592.247e0" ] . a it6:Run ; feo:runId "c286ce12094240469ecd0288fd9d19b4" ; it6:realizes "SiamCRNN" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_msoscd_pretrained_imagenet1K_SiamCRNN" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786017976540"^^ ; feo:endTime "1786018635481"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.936887e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8888666e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9363735e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9354044e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8076409e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8803593e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9091582e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9440553e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9426491e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8704105e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9288157e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9288157e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "658.941e0" ] . a it6:Run ; feo:runId "cd359afda75e4bfe91854e82fb2be225" ; it6:realizes "ChangeViT" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msoscd_scratch_ChangeViT" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785206121830"^^ ; feo:endTime "1785207376762"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8901605e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7958813e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8885856e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8836932e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.682631e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7995089e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8405864e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9015115e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8953234e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7620861e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8760252e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8760252e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1254.932e0" ] . a it6:Run ; feo:runId "db908b141d264d81a77c07bbb7b67366" ; it6:realizes "TinyCD" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_msoscd_pretrained_imagenet1K_TinyCD" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "42" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786019818888"^^ ; feo:endTime "1786021007800"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8572588e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6923387e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8533642e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8350358e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5748511e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7442331e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8014991e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8773005e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8614642e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6434322e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8306994e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8306994e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1188.912e0" ] . a it6:Run ; feo:runId "dfefae12d51b4899929be08e5e831417" ; it6:realizes "ChangeFormerV6" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msoscd_scratch_ChangeFormerV6" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "27" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785203586912"^^ ; feo:endTime "1785205024904"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.880642e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.777872e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8791045e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8737321e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6612343e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7842876e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8193019e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8905768e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8833087e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7467277e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.867924e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.867924e0" ] ; feo:hasResourceEstimate [ feo:gflops "138.7708e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1437.992e0" ] . a it6:Run ; feo:runId "e1767be9242a46e5b3cf7e8aa4bbaddd" ; it6:realizes "STANet" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_msoscd_pretrained_imagenet1K_STANet" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "19" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786018646115"^^ ; feo:endTime "1786019808155"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9061229e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8323093e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9049605e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9027147e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7279915e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8264182e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8611433e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9163061e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.912959e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.807455e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8938925e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8938925e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1162.04e0" ] . a it6:Run ; feo:runId "ee07c202f9824b388dbde28ae2f09295" ; it6:realizes "BIT" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_msoscd_pretrained_imagenet1K_BIT" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "30" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786011231317"^^ ; feo:endTime "1786012145833"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9314858e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8785379e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.931001e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9296109e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7923864e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8709091e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9018626e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9376356e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9357764e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8580085e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9244596e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9244596e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "914.516e0" ] . a it6:Run ; feo:runId "f8e49b6a2eb146c68ec99b0d4f4c131e" ; it6:realizes "CGNet" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msoscd_scratch_CGNet" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "48" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785201346698"^^ ; feo:endTime "1785203575352"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8875562e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7890924e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8860786e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8805746e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6747966e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7954588e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8353454e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8978776e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8910817e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7551379e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8745856e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8745856e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2228.654e0" ] . a it6:Run ; feo:runId "feb820e484134e229ccec38c45a59ee0" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "msoscd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msoscd_scratch_HRNetChangeDetection" ; feo:experimentId "249939189667954470" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "25" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785207387418"^^ ; feo:endTime "1785209109277"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8617266e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7349694e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8599122e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8512778e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6140214e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7542508e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.784423e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8713458e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8599785e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7020721e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8487748e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8487748e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1721.859e0" ] . a it6:Run ; feo:runId "07569b5b25c3410a929aee7366c329d0" ; it6:realizes "DenseNet161" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_synthwakesar_pretrained_imagenet1K_DenseNet161" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771154397164"^^ ; feo:endTime "1771160595938"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9660373e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9660477e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9660373e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9660525e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9622637e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9661189e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9660373e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9661232e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9660322e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9660373e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9660373e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784658e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "6198.774e0" ] . a it6:Run ; feo:runId "0770810f6cba4984b44b8ee2a5e6e92f" ; it6:realizes "MLPMixer" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_synthwakesar_pretrained_imagenet1K_MLPMixer" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "31" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771168398092"^^ ; feo:endTime "1771176250379"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9656033e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9656143e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9656033e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9656192e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9617814e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9656469e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9656033e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9656525e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.965599e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9656033e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9656033e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "7852.287e0" ] . a it6:Run ; feo:runId "08411d0f2bd143088e8e08b05717e82f" ; it6:realizes "SwinTransformer" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_synthwakesar_pretrained_imagenet1K_SwinTransformer" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "52" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771190173436"^^ ; feo:endTime "1771204582434"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9761285e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9761351e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9761285e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9761405e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9734761e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9761644e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9761285e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9761703e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9761235e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9761285e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9761285e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720904e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "14409.0e0" ] . a it6:Run ; feo:runId "0c9e7db00c984173b54c603659406560" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_synthwakesar_pretrained_imagenet1K_ConvNeXtTiny" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771146754442"^^ ; feo:endTime "1771154385869"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9678819e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9678734e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9678819e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9678794e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9643133e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.967904e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9678819e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.967911e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.967877e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9678819e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9678819e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469677e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "7631.427e0" ] . a it6:Run ; feo:runId "1177233aeb5742dda0114e314ee7e835" ; it6:realizes "VGG16" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_synthwakesar_pretrained_imagenet1K_VGG16" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "30" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771204595345"^^ ; feo:endTime "1771210671740"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9570312e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9570839e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9570312e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9570886e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9522569e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9572668e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9570312e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9572713e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9570263e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9570312e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9570312e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46623e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "6076.395e0" ] . a it6:Run ; feo:runId "11baeb33aab849f582411f3d9a106524" ; it6:realizes "EfficientNetB0" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_synthwakesar_scratch_EfficientNetB0" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "94" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765049280631"^^ ; feo:endTime "1765074503827"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9625651e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9625382e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9625651e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9625428e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9584057e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9625472e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9625651e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9625517e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9625605e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9625651e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9625651e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4003922e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "25223.2e0" ] . a it6:Run ; feo:runId "173ddd673baf4aa1a581dc07216a7e7c" ; it6:realizes "ResNet50" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_synthwakesar_scratch_ResNet50" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "79" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765126591213"^^ ; feo:endTime "1765148744645"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9585503e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9585547e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9585503e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9585598e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9539448e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9585826e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9585503e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9585885e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9585461e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9585503e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9585503e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109485e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "22153.43e0" ] . a it6:Run ; feo:runId "2b14fd12a2fa4536933f51f89fda8f12" ; it6:realizes "ResNet152" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_synthwakesar_scratch_ResNet152" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "72" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765105462649"^^ ; feo:endTime "1765126588989"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9595269e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9595346e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9595269e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9595398e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9550299e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9595975e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9595269e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9596037e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9595227e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9595269e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9595269e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55681e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "21126.34e0" ] . a it6:Run ; feo:runId "2e47040b67254b158d6c90b5dd6b94ae" ; it6:realizes "ResNet152" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_synthwakesar_pretrained_imagenet1K_ResNet152" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "33" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771176262528"^^ ; feo:endTime "1771183424959"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9728733e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9729036e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9728733e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9729078e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9698592e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9729855e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9728733e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9729904e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9728698e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9728733e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9728733e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55681e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "7162.431e0" ] . a it6:Run ; feo:runId "3361c36762df4f43891851da1633d4f2" ; it6:realizes "MLPMixer" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_synthwakesar_scratch_MLPMixer" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "93" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765074504958"^^ ; feo:endTime "1765105460221"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9245877e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9246429e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9245877e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9246514e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9162085e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9248611e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9245877e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9248701e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9245795e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9245877e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9245877e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "30955.26e0" ] . a it6:Run ; feo:runId "54b731395f9b4e1bbb334ebda0712580" ; it6:realizes "SwinTransformer" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_synthwakesar_scratch_SwinTransformer" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "99" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765148746182"^^ ; feo:endTime "1765183431341"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9521484e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9520966e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9521484e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.952103e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9468316e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9522662e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9521484e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9522709e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9521401e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9521484e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9521484e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720904e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "34685.16e0" ] . a it6:Run ; feo:runId "8046e80c1b95493d9bf32a276fb3a466" ; it6:realizes "VisionTransformer" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_synthwakesar_pretrained_imagenet1K_VisionTransformer" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771210686004"^^ ; feo:endTime "1771217114791"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9753689e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9753606e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9753689e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9753636e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9726321e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9754007e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9753689e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9754033e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9753655e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9753689e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9753689e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "6428.787e0" ] . a it6:Run ; feo:runId "aec27d666a994cf28f911adaabb72983" ; it6:realizes "ResNet50" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_synthwakesar_pretrained_imagenet1K_ResNet50" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "33" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771183436758"^^ ; feo:endTime "1771190161026"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9675564e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9675195e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9675564e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9675242e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9639516e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9675345e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9675564e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9675392e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9675518e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9675564e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9675564e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109485e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "6724.268e0" ] . a it6:Run ; feo:runId "b124539cb09b4104a1d1619a38cc9dfe" ; it6:realizes "VGG16" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_synthwakesar_scratch_VGG16" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "44" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765183434278"^^ ; feo:endTime "1765196090687"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9624566e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9624723e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9624566e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9624759e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9582851e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9626083e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9624566e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9626122e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9624533e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9624566e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9624566e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46623e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "12656.41e0" ] . a it6:Run ; feo:runId "b782bab1ceda471fa360ba20c4a9ca73" ; it6:realizes "DenseNet161" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_synthwakesar_scratch_DenseNet161" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "49" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765035501348"^^ ; feo:endTime "1765049279586"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9620226e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9620136e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9620226e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9620179e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9578029e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9621082e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9620226e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9621132e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9620189e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9620226e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9620226e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784658e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "13778.24e0" ] . a it6:Run ; feo:runId "be913a33e2ee4b4c84c19a5ea6593960" ; it6:realizes "AlexNet" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_synthwakesar_scratch_AlexNet" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764985864345"^^ ; feo:endTime "1765010237662"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9583333e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9583375e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9583333e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9583419e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9537037e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9583834e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9583333e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9583876e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9583287e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9583333e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9583333e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101427e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "24373.32e0" ] . a it6:Run ; feo:runId "d052bcb3b7044b4e967e330a1a923b99" ; it6:realizes "EfficientNetB0" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_synthwakesar_pretrained_imagenet1K_EfficientNetB0" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "39" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771160606986"^^ ; feo:endTime "1771168386694"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9615885e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9615744e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9615885e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9615796e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9573206e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9616314e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9615885e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9616365e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9615831e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9615885e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9615885e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4003922e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "7779.708e0" ] . a it6:Run ; feo:runId "ef87ad84b8ab412486a252266265865b" ; it6:realizes "AlexNet" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_synthwakesar_pretrained_imagenet1K_AlexNet" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771131893246"^^ ; feo:endTime "1771146741883"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9544271e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9544079e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9544271e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.954416e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9493634e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9544101e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9544271e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9544181e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9544191e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9544271e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9544271e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101427e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "14848.64e0" ] . a it6:Run ; feo:runId "fb2e760b8b784e3982af889a2c7e2126" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_synthwakesar_scratch_ConvNeXtTiny" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "93" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765010240158"^^ ; feo:endTime "1765035500043"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9443359e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9443416e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9443359e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9443466e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.938151e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9444115e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9443359e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9444167e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.944331e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9443359e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9443359e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469677e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "25259.88e0" ] . a it6:Run ; feo:runId "fb67efd2842748778aca3c9df6551d78" ; it6:realizes "VisionTransformer" ; feo:onDataset "synthwakesar" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_synthwakesar_scratch_VisionTransformer" ; feo:experimentId "268473859281239031" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765196095790"^^ ; feo:endTime "1765231909451"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9188368e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9187827e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9188368e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9187955e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9098186e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9188549e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9188368e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9188666e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9188229e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9188368e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9188368e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "35813.66e0" ] . a it6:Run ; feo:runId "0ceb93bfa13d46b78b9c78110bab27f2" ; it6:realizes "SwinTransformer" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_mstar_8_pretrained_imagenet1K_SwinTransformer" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "20" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770784848448"^^ ; feo:endTime "1770786470040"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9978881e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9980335e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9978881e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9978895e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9975702e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9981361e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9978881e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.997897e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9979363e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9978881e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9978881e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720902e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1621.592e0" ] . a it6:Run ; feo:runId "0dfa2d7a707d419a84d749387c0bb2a6" ; it6:realizes "AlexNet" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_mstar_8_pretrained_imagenet1K_AlexNet" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770770893771"^^ ; feo:endTime "1770772667555"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9963041e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9959052e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9963041e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9963046e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9957481e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9958646e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9963041e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9963094e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9959502e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9963041e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9963041e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101345e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1773.784e0" ] . a it6:Run ; feo:runId "10fd05175ac34b78addd8b0329d272e7" ; it6:realizes "EfficientNetB0" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_mstar_8_scratch_EfficientNetB0" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "71" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764860323908"^^ ; feo:endTime "1764865742519"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.969377e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9697694e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.969377e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9694386e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9647712e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9691543e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.969377e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9696159e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9705332e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.969377e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.969377e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4003896e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "5418.611e0" ] . a it6:Run ; feo:runId "1f9e7a7120a94a0cbb68ccfda150f140" ; it6:realizes "ResNet50" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_mstar_8_scratch_ResNet50" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "77" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764881119134"^^ ; feo:endTime "1764887336860"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9846885e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9831558e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9846885e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9846746e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9823812e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9841109e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9846885e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9847622e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9823048e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9846885e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9846885e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109481e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "6217.726e0" ] . a it6:Run ; feo:runId "27675ae584b54b36ba37ef4bca95ec6c" ; it6:realizes "VGG16" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_mstar_8_scratch_VGG16" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764892663989"^^ ; feo:endTime "1764894356278"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9894403e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.989459e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9894403e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9894416e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9878505e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9897255e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9894403e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9894887e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9892353e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9894403e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9894403e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46623e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1692.289e0" ] . a it6:Run ; feo:runId "3cfbf2a0dbd44d81991f20c84b53ef96" ; it6:realizes "ResNet50" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_mstar_8_pretrained_imagenet1K_ResNet50" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "42" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770782763210"^^ ; feo:endTime "1770784835354"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.998944e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9990179e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.998944e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9989436e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9987851e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9991166e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.998944e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9989515e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.998927e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.998944e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.998944e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109481e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "2072.144e0" ] . a it6:Run ; feo:runId "4f893b6418d44b74ac5dcc5a615f2d8f" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_mstar_8_pretrained_imagenet1K_ConvNeXtTiny" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "24" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770772679880"^^ ; feo:endTime "1770774082068"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9984161e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9985275e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9984161e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9984158e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9981777e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9985747e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9984161e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9984175e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9984822e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9984161e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9984161e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469676e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1402.188e0" ] . a it6:Run ; feo:runId "58d9b1e83ead4fbb8c4e3b4967b6952e" ; it6:realizes "MLPMixer" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_mstar_8_scratch_MLPMixer" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "93" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764865743256"^^ ; feo:endTime "1764873903487"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9757128e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9735778e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9757128e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9756761e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9720505e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9749898e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9757128e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9763446e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9728252e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9757128e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9757128e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "8160.231e0" ] . a it6:Run ; feo:runId "5bbc18301ede486fb83d4d5b949f6568" ; it6:realizes "ResNet152" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_mstar_8_scratch_ResNet152" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "95" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764873905984"^^ ; feo:endTime "1764881117016"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9936642e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9934358e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9936642e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9936634e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9927096e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9943322e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9936642e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9937339e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9926161e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9936642e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9936642e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.5568e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "7211.032e0" ] . a it6:Run ; feo:runId "5e28a69e9201415586dd2d297ffa37f5" ; it6:realizes "SwinTransformer" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_mstar_8_scratch_SwinTransformer" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "51" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764887338347"^^ ; feo:endTime "1764892661491"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9941922e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9930084e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9941922e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9941977e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9933178e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9931551e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9941922e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9942958e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9929506e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9941922e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9941922e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720902e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "5323.144e0" ] . a it6:Run ; feo:runId "7c8c2702bbdc40538a32dacf8bfd1603" ; it6:realizes "DenseNet161" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_mstar_8_pretrained_imagenet1K_DenseNet161" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "58" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770774093582"^^ ; feo:endTime "1770776900421"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.998944e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9990179e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.998944e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9989436e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9987851e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9991166e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.998944e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9989515e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.998927e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.998944e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.998944e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784653e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "2806.839e0" ] . a it6:Run ; feo:runId "8915e7e49c104929b8675e84e435bbfe" ; it6:realizes "VGG16" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_mstar_8_pretrained_imagenet1K_VGG16" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770786482135"^^ ; feo:endTime "1770788010810"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9973601e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9975458e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9973601e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9973596e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9969628e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9975926e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9973601e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9973611e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9975009e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9973601e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9973601e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46623e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1528.675e0" ] . a it6:Run ; feo:runId "a7536cf5f1f34e2ba8de68b5d2fb294c" ; it6:realizes "VisionTransformer" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_mstar_8_scratch_VisionTransformer" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "93" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764894359208"^^ ; feo:endTime "1764903372644"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9957761e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9953565e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9957761e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9957745e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9951405e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9954139e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9957761e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9957953e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9953221e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9957761e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9957761e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "9013.436e0" ] . a it6:Run ; feo:runId "abdd3b2cb6854748926a53e5b2edc16c" ; it6:realizes "ResNet152" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_mstar_8_pretrained_imagenet1K_ResNet152" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "44" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770780545493"^^ ; feo:endTime "1770782751509"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.999472e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9995092e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.999472e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9994719e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9993926e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9995567e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.999472e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9994739e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9994635e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.999472e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.999472e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.5568e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "2206.016e0" ] . a it6:Run ; feo:runId "bfc8cd7f861a4d1d8dd3d3afecf8053b" ; it6:realizes "VisionTransformer" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_mstar_8_pretrained_imagenet1K_VisionTransformer" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770788025400"^^ ; feo:endTime "1770789073455"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9947202e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.993144e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9947202e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.994735e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9939264e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9922863e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9947202e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9948115e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9941012e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9947202e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9947202e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1048.055e0" ] . a it6:Run ; feo:runId "c3e394e15e84438db9adc2de81693c74" ; it6:realizes "DenseNet161" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_mstar_8_scratch_DenseNet161" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "45" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764856511578"^^ ; feo:endTime "1764860323164"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9957761e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9950774e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9957761e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9957737e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9951405e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9953091e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9957761e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9957768e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9948537e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9957761e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9957761e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784653e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3811.586e0" ] . a it6:Run ; feo:runId "c94044a4e91642d59202656196771624" ; it6:realizes "EfficientNetB0" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_mstar_8_pretrained_imagenet1K_EfficientNetB0" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770776911560"^^ ; feo:endTime "1770778487070"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9957761e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9957411e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9957761e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9957749e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9951403e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9960671e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9957761e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9957791e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9954231e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9957761e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9957761e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4003896e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1575.51e0" ] . a it6:Run ; feo:runId "e023cf8105d44cc6a6fe62339f729170" ; it6:realizes "MLPMixer" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_mstar_8_pretrained_imagenet1K_MLPMixer" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770778497810"^^ ; feo:endTime "1770780533335"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9984161e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9981957e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9984161e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9984155e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9981776e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9984752e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9984161e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9984183e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9979222e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9984161e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9984161e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "2035.525e0" ] . a it6:Run ; feo:runId "e759e0ec89144ff0bd1d0789a7d3b853" ; it6:realizes "AlexNet" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_mstar_8_scratch_AlexNet" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764845938880"^^ ; feo:endTime "1764849012923"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9778247e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9749576e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9778247e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9777318e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9744893e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9747698e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9778247e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9778525e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9753658e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9778247e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9778247e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101345e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3074.043e0" ] . a it6:Run ; feo:runId "f8bad96707fe4f70accf6a88c5406434" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "mstar_8" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_mstar_8_scratch_ConvNeXtTiny" ; feo:experimentId "269146839867387476" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764849014679"^^ ; feo:endTime "1764856510227"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9868004e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9868264e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9868004e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9867902e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9848123e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9874896e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9868004e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9869181e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9862897e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9868004e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9868004e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469676e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "7495.548e0" ] . a it6:Run ; feo:runId "148fb160611049d3b7810826ff256af1" ; it6:realizes "FPN" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_scratch_FPN" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764716424523"^^ ; feo:endTime "1764722262267"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7731765e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7671043e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7701877e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7733878e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6230292e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6262644e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7603057e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7601711e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7855391e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7950627e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7804718e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7804718e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.830086e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "5837.744e0" ] . a it6:Run ; feo:runId "2b41b107b0a64f84a5f499bdaa8c4ebf" ; it6:realizes "SegFormer" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_pretrained_imagenet1K_SegFormer" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "5" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772661518309"^^ ; feo:endTime "1772670971406"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9242843e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9191045e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9232866e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9230327e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8508e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8575045e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9103775e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9112789e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9111769e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9284351e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.935615e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.935615e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.579231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "9453.097e0" ] . a it6:Run ; feo:runId "460c3d5dc9b643bfad64ef0f46b551e9" ; it6:realizes "HRNet" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_pretrained_imagenet1K_HRNet" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "3" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772587213053"^^ ; feo:endTime "1772595247530"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9253155e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9201762e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9243314e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9243138e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8526908e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8593086e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9083936e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9123101e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9122775e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9322703e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9366737e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9366737e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.66421e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8034.477e0" ] . a it6:Run ; feo:runId "673da5b07f7944f0b9113d728eb46614" ; it6:realizes "UPerNet" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_scratch_UPerNet" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "4" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764712064356"^^ ; feo:endTime "1764716423657"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7705545e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.764503e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7675312e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7707713e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6196045e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6227591e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7580671e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7575492e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7835072e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.792627e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7777798e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7777798e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.19405e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "4359.301e0" ] . a it6:Run ; feo:runId "9c6a9781081f4da8adc2d38b9c605e15" ; it6:realizes "UPerNet" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_pretrained_imagenet1K_UPerNet" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "4" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772643272044"^^ ; feo:endTime "1772652021984"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9218964e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9171977e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9208672e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9208186e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8474669e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8533401e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9058706e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.908891e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.908813e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9288303e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9331633e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9331633e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.19405e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8749.94e0" ] . a it6:Run ; feo:runId "9eb02ccb75c14c9bbcabb26647a0d27f" ; it6:realizes "PSPNet" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_pretrained_imagenet1K_PSPNet" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "10" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776122832045"^^ ; feo:endTime "1776129423075"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9196975e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9141705e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9186393e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9184483e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8424742e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8495217e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9043887e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9066921e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9065055e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9243724e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9309056e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9309056e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.945856e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "6591.03e0" ] . a it6:Run ; feo:runId "a2edb74ce096498e9746d6f2ddd9b562" ; it6:realizes "PSPNet" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_scratch_PSPNet" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "12" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764690663856"^^ ; feo:endTime "1764697143577"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7747939e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7688848e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7718265e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7749674e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6253263e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6284344e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7622782e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7617886e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7876251e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7972738e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7821324e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7821324e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.945856e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "6479.721e0" ] . a it6:Run ; feo:runId "a52e73d0132f40a5a8330b5c9b33d7cc" ; it6:realizes "MANet" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_pretrained_imagenet1K_MANet" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772595260938"^^ ; feo:endTime "1772613230587"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9228454e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9180549e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9218288e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9220115e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8490106e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.854993e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.90434e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9098401e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9103916e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.932411e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9341377e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9341377e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.63715e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "17969.65e0" ] . a it6:Run ; feo:runId "b265f876556a43d6ad4dadff1ec11c8b" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_scratch_UnetPlusPlus" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764703862939"^^ ; feo:endTime "1764712063122"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7748889e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7692824e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7719227e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7751793e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6258048e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6285619e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7642761e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7618835e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.790814e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7990576e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7822299e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7822299e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.53294e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8200.183e0" ] . a it6:Run ; feo:runId "b7d640dbed98467a9cd9c683e02894ca" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_pretrained_imagenet1K_DeepLabV3Plus" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "2" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772571480536"^^ ; feo:endTime "1772579072339"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9197836e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9147411e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9187266e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9188687e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8434045e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8496709e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9014919e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9067782e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9071636e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9285069e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.930994e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.930994e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.5831e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "7591.803e0" ] . a it6:Run ; feo:runId "c0a5d159e31440cca0514504a7617737" ; it6:realizes "FCN" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_pretrained_imagenet1K_FCN" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "3" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772579084633"^^ ; feo:endTime "1772587199820"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.921946e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9167027e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9209175e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9209753e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8467821e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8534264e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9042212e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9089406e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9090702e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9295524e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9332142e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9332142e0" ] ; feo:hasResourceEstimate [ feo:gflops "56.5248e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8115.187e0" ] . a it6:Run ; feo:runId "c9d824a19ca9493db56811b624604e18" ; it6:realizes "HRNet" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_scratch_HRNet" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764682577283"^^ ; feo:endTime "1764690662319"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7708229e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7649383e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7678031e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7710801e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6201429e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6231172e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7591991e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7578175e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7851535e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7937299e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7780553e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7780553e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.66421e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8085.036e0" ] . a it6:Run ; feo:runId "cdb06018e556450a8586937ef7449701" ; it6:realizes "MANet" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_scratch_MANet" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "31" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1767968049311"^^ ; feo:endTime "1768026244511"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9169444e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9114048e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.91585e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9157487e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8378077e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8447632e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9005948e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9039391e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9037919e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9225332e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9280791e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9280791e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.63715e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "58195.2e0" ] . a it6:Run ; feo:runId "cfe426b7cd0b48d9b0f485bbb4080026" ; it6:realizes "FPN" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_pretrained_imagenet1K_FPN" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "5" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772652032811"^^ ; feo:endTime "1772661506632"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9201131e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9153248e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9190605e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9190345e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8442957e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8502423e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9037284e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9071078e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9070617e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9272278e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9313324e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9313324e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.830086e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "9473.821e0" ] . a it6:Run ; feo:runId "cff71ac9696c4d9d9caad47e89dc46d6" ; it6:realizes "FCN" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_scratch_FCN" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "8" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764677148545"^^ ; feo:endTime "1764682575518"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7736346e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7679519e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7706519e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7739875e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6240824e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6268785e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7630534e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7606293e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7897081e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7976018e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7809421e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7809421e0" ] ; feo:hasResourceEstimate [ feo:gflops "54.09735e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "5426.973e0" ] . a it6:Run ; feo:runId "d182c3792d564134ae97f3cbd5f56942" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_scratch_DeepLabV3Plus" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764670108098"^^ ; feo:endTime "1764677147123"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7541451e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7467805e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7509055e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7542142e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5969985e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6011599e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7382844e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7411397e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.761805e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7711985e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7609321e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7609321e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.5831e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "7039.025e0" ] . a it6:Run ; feo:runId "d37e9ee1af5842e09683b50fafab1358" ; it6:realizes "SegFormer" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_scratch_SegFormer" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765958074689"^^ ; feo:endTime "1766120906818"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.3903757e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.2739789e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.3823429e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.2123052e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1886852e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.2363559e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1886852e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.3773704e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.1462115e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.3874482e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.3874482e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.579231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "162832.1e0" ] . a it6:Run ; feo:runId "d3a75a6a318d4d4c87d3e4ef3dc496dc" ; it6:realizes "Unet" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_pretrained_imagenet1K_Unet" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "5" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772616074859"^^ ; feo:endTime "1772629199487"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9244352e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9196818e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9234395e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9235007e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8517631e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8577683e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9070526e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9114298e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9115729e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9326942e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9357699e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9357699e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.68361e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "13124.63e0" ] . a it6:Run ; feo:runId "eb763b2b06334461b1f264316b4c7180" ; it6:realizes "Unet" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_scratch_Unet" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "12" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764697144179"^^ ; feo:endTime "1764703861680"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.771014e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7654768e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7679968e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.771273e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6207637e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6233724e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7611146e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7580087e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7879444e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7956036e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7782516e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7782516e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.68361e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "6717.501e0" ] . a it6:Run ; feo:runId "ef0b30341a054f45b0df729599529b5d" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "sentinel_2_cloud_cover_segmentation" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_sentinel_2_cloud_cover_segmentation_pretrained_imagenet1K_UnetPlusPlus" ; feo:experimentId "295963453329327290" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "8" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772629211696"^^ ; feo:endTime "1772643260881"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9239953e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9195074e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9229938e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9230579e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8514022e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8569995e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9067953e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9109899e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9111449e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9326147e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9353182e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9353182e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.53294e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "14049.18e0" ] . a it6:Run ; feo:runId "1c2b7bff71484163b7d2d9fa7cb7d17f" ; it6:realizes "FCOS" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_rare_planes_scratch_FCOS" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "58" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780454729867"^^ ; feo:endTime "1780465989328"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9674668e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.9306349e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.8957086e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.8267193e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.8203955e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.7805028e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.8203955e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.8642223e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.8642223e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.8054534e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.3167734e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.9234604e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8696881e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.8397247e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.6185e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "11259.46e0" ] . a it6:Run ; feo:runId "225ae6c1bfe24e92a00b360dd634806e" ; it6:realizes "FasterRCNN" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_rare_planes_pretrained_imagenet1K_FasterRCNN" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "34" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781846651965"^^ ; feo:endTime "1781853909221"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9781874e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.947607e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.9283457e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.866587e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.8591806e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.8224812e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.8591806e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.8868415e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.8868415e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.8266474e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.3246437e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.9478006e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8929825e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.8611296e0" ] ; feo:hasResourceEstimate [ feo:gflops "280.3744e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "7257.256e0" ] . a it6:Run ; feo:runId "2c887f319963464886da64d18c4260a6" ; it6:realizes "RetinaNet" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_rare_planes_scratch_RetinaNet" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "73" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780478873108"^^ ; feo:endTime "1780499314723"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9553243e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8883664e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.8566945e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.7682473e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.7683392e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.7432521e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.7683392e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.8208015e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.8208015e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7681471e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.3044412e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.8923753e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8232943e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.7952064e0" ] ; feo:hasResourceEstimate [ feo:gflops "128.0447e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "20441.62e0" ] . a it6:Run ; feo:runId "2da759339d40444fbec35755b94c0a8c" ; it6:realizes "NanoDetPlus" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_rare_planes_pretrained_imagenet1K_NanoDetPlus" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "61" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781859457578"^^ ; feo:endTime "1781868516885"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.850592e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.5902038e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.6806493e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.5264041e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.522948e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4605551e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.522948e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.5929766e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.5929766e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5512291e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.226854e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7297654e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.5940058e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.5476981e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.344e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "9059.307e0" ] . a it6:Run ; feo:runId "370fdd21fd504fc0abb8b44bc57593d9" ; it6:realizes "FasterRCNN" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_rare_planes_scratch_FasterRCNN" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "63" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780440882411"^^ ; feo:endTime "1780454717947"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9369464e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8938114e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.8564165e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.7782215e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.7776756e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.7466574e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.7776756e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.8132617e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.8132617e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7611237e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.3039661e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.883871e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8144249e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.7892739e0" ] ; feo:hasResourceEstimate [ feo:gflops "231.007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "13835.54e0" ] . a it6:Run ; feo:runId "44e175d9fddf43e6b43b08dcd1fb56bd" ; it6:realizes "SSD" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_rare_planes_scratch_SSD" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "89" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780556180195"^^ ; feo:endTime "1780588648007"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.7216529e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.5995668e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "5.561446E-4" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.5382361e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5150079e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.6517171e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5150079e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.5832266e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.5832266e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5151828e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1722165e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.1304985e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.602924e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.7105837e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.42879e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "32467.81e0" ] . a it6:Run ; feo:runId "49089a365cae43f2b86c9a84ef900bd1" ; it6:realizes "ATSS" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_rare_planes_scratch_ATSS" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "37" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780382164871"^^ ; feo:endTime "1780394241533"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9113023e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8355491e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.807249e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.7175552e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.7093204e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.6647668e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.7093204e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.7603594e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.7603594e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7130551e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2863251e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.8439883e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.770614e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.7233033e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.33007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "12076.66e0" ] . a it6:Run ; feo:runId "5d05ea0acc3a43249c1b8055fee2469e" ; it6:realizes "SparseRCNN" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_rare_planes_pretrained_imagenet1K_SparseRCNN" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "37" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781877451925"^^ ; feo:endTime "1781884839953"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9716638e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8820773e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.8529313e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.7566121e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.7498523e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.7044241e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.7498523e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.8038835e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.8038835e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7480893e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2965297e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.8887097e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8130117e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.7675368e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.86202e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "7388.028e0" ] . a it6:Run ; feo:runId "607e7af138774f978676413780b085a9" ; it6:realizes "NanoDetPlus" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_rare_planes_scratch_NanoDetPlus" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "62" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780466000360"^^ ; feo:endTime "1780478862475"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.8536861e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.5881872e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.6867943e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.5291204e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5200405e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.454467e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5200405e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.592956e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.592956e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5517042e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2250155e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7343109e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.5990741e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.5412435e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.344e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "12862.11e0" ] . a it6:Run ; feo:runId "7318bb2f4d5749e1b3ac469399ef705e" ; it6:realizes "DETR" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_rare_planes_scratch_DETR" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "4" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780406589136"^^ ; feo:endTime "1780440869195"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "2.152389E-4" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "6.414462E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "6.414462E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "6.414462E-5" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "3.71824E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "3.71824E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "3.71824E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "3.71824E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "8.77193E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.1319e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "34280.06e0" ] . a it6:Run ; feo:runId "74e63b4e462a4e0f92a6a548d4bfa74e" ; it6:realizes "CenterNet" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_rare_planes_pretrained_imagenet1K_CenterNet" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "37" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781832747879"^^ ; feo:endTime "1781838501692"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.915994e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.774424e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.8400769e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6930335e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.6546135e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.5397992e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.6546135e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.7004958e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.7004958e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.663458e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2750052e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.8680352e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7434211e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.6044613e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86484e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "5753.813e0" ] . a it6:Run ; feo:runId "7ca9ef10f5f24760b606ec932ee56e23" ; it6:realizes "SSD" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_rare_planes_pretrained_imagenet1K_SSD" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "24" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781884855096"^^ ; feo:endTime "1781888810096"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9444374e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8644125e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.8404775e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.7530839e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.7339265e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.6667945e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.7339265e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.7789093e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.7789093e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7305309e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2942574e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.8784457e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8022417e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.7239677e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.42879e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "3955.0e0" ] . a it6:Run ; feo:runId "a01471c2c2024f37a8bd58630facc67e" ; it6:realizes "DETR" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_rare_planes_pretrained_imagenet1K_DETR" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "59" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781838514885"^^ ; feo:endTime "1781846638124"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9328083e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.7639285e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.8407938e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6819007e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.6526398e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.5321943e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.6526398e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.722454e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.722454e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.6772361e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2775047e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.8866569e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7598441e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.6328903e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.1319e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "8123.239e0" ] . a it6:Run ; feo:runId "a1967d4fadb34f50a466b5f869340ce0" ; it6:realizes "CenterNet" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_rare_planes_scratch_CenterNet" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "49" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780394253968"^^ ; feo:endTime "1780406576391"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.8070965e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.658269e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.7051865e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.5646695e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.548354e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4706666e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.548354e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.5946499e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.5946499e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.564119e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2411898e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7331378e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.6133041e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.5316564e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86484e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "12322.42e0" ] . a it6:Run ; feo:runId "b558f91d844447a3a2858e2f3e101f3f" ; it6:realizes "FCOS" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_rare_planes_pretrained_imagenet1K_FCOS" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "33" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781853922168"^^ ; feo:endTime "1781859444630"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9771234e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.9429551e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.9108328e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.8492169e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.8395168e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.8005047e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.8395168e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.8791572e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.8791572e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.8174551e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.3214212e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.9340176e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8853801e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.8553393e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.6185e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "5522.462e0" ] . a it6:Run ; feo:runId "bce203279dc34f48a2d70d36586f2bde" ; it6:realizes "RetinaNet" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_rare_planes_pretrained_imagenet1K_RetinaNet" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "53" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781868528572"^^ ; feo:endTime "1781877438392"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9750628e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.9305484e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.9064853e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.825313e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.8152571e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.7806619e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.8152571e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.8732494e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.8732494e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.8129932e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.3147077e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.9387097e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8839181e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.8416706e0" ] ; feo:hasResourceEstimate [ feo:gflops "128.0447e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "8909.82e0" ] . a it6:Run ; feo:runId "be6e65bb4dc44c7da25f48b1676cd22b" ; it6:realizes "SSDLite" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_rare_planes_pretrained_imagenet1K_SSDLite" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "23" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781888821882"^^ ; feo:endTime "1781893022667"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.7106338e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.3664612e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.7910154e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.4732936e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.386108e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1258233e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.386108e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4695517e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4695517e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.4404462e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2068374e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.8329912e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.5530214e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2706217e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4265438e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "4200.785e0" ] . a it6:Run ; feo:runId "c00c98638510469d8b2f1c733c3bd461" ; it6:realizes "SSDLite" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_rare_planes_scratch_SSDLite" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "36" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780588659660"^^ ; feo:endTime "1780597090035"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6413068e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.3090911e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.7611563e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.4171881e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3310202e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.06742996e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3310202e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4105144e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4105144e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3834538e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1877711e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.8048387e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.4911306e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2043664e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.508307e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "8430.375e0" ] . a it6:Run ; feo:runId "de7703eb45b24ad293c6189ecd8b3725" ; it6:realizes "ATSS" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_rare_planes_pretrained_imagenet1K_ATSS" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "27" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781827464506"^^ ; feo:endTime "1781832735324"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9547183e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.9055097e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.8894753e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.8110037e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.7929106e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.7373137e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.7929106e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.8401777e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.8401777e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7847965e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.3105144e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.920088e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8563353e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.7985762e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.33007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "5270.818e0" ] . a it6:Run ; feo:runId "fe6b97cf939d4484bbc5d19238902a1b" ; it6:realizes "SparseRCNN" ; feo:onDataset "rare_planes" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_rare_planes_scratch_SparseRCNN" ; feo:experimentId "308530863681910703" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780499327219"^^ ; feo:endTime "1780556161652"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.86202e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "56834.43e0" ] . a it6:Run ; feo:runId "0ce1f4e85a744005b571a8747243ac1a" ; it6:realizes "NanoDetPlus" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_sar_ship_dataset_scratch_NanoDetPlus" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "51" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780888718048"^^ ; feo:endTime "1780907330694"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9307511e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.6631728e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.5928455e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6037238e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5857818e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.372719e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5857818e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.6555103e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.6555103e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.6537911e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.5318493e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.6632761e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.6738073e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4636038e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.344e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "18612.65e0" ] . a it6:Run ; feo:runId "0f3d647301a24f0f849c94c91b763e26" ; it6:realizes "ATSS" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_sar_ship_dataset_scratch_ATSS" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "48" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780616347972"^^ ; feo:endTime "1780641727572"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9415246e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.7992713e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.6507862e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6848947e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.665433e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4496669e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.665433e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.7303587e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.7303587e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7288582e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.5944052e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7186261e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7489136e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.5534606e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.33007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "25379.6e0" ] . a it6:Run ; feo:runId "253a4d4f8252436b93cd3b2bb79132f6" ; it6:realizes "RetinaNet" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_sar_ship_dataset_scratch_RetinaNet" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "33" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780907352495"^^ ; feo:endTime "1780934862239"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.962472e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.7753207e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.6670126e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6635407e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.6506851e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4931248e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.6506851e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.7113088e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.7113088e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7095896e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.5798867e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7179657e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7241498e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.575537e0" ] ; feo:hasResourceEstimate [ feo:gflops "128.0447e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "27509.74e0" ] . a it6:Run ; feo:runId "30a9106c6ddc4e079b921d1603dbac5a" ; it6:realizes "FasterRCNN" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_sar_ship_dataset_scratch_FasterRCNN" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "56" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780734228087"^^ ; feo:endTime "1780787288516"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9439002e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8033986e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.6663768e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.682525e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.665967e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4884829e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.665967e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.7195071e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.7195071e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7181954e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.5870516e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7186261e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.73564e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.5572792e0" ] ; feo:hasResourceEstimate [ feo:gflops "231.007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "53060.43e0" ] . a it6:Run ; feo:runId "30b9f0d9382848debbea63e8eaf7685b" ; it6:realizes "FCOS" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_sar_ship_dataset_scratch_FCOS" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780787311136"^^ ; feo:endTime "1780888694110"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.6185e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "101383.0e0" ] . a it6:Run ; feo:runId "4cee9ea7989f44ffaa5a8d22a21d9a6d" ; it6:realizes "DETR" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_sar_ship_dataset_scratch_DETR" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780653884745"^^ ; feo:endTime "1780734205516"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.1319e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "80320.77e0" ] . a it6:Run ; feo:runId "559aba92d2ee4fb9b7ceaa5ccd120574" ; it6:realizes "CenterNet" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_sar_ship_dataset_pretrained_imagenet1K_CenterNet" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "41" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781921037082"^^ ; feo:endTime "1781933793166"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9221309e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.7381251e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.6724786e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6424363e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.6217862e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.3509198e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.6217862e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.684766e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.684766e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.6840405e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.567773e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.724967e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7052669e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4412888e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86484e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "12756.08e0" ] . a it6:Run ; feo:runId "5ce56ab5e22a41a9bcd54c752e6ed2ca" ; it6:realizes "SparseRCNN" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_sar_ship_dataset_pretrained_imagenet1K_SparseRCNN" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782111881669"^^ ; feo:endTime "1782206114920"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.86202e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "94233.25e0" ] . a it6:Run ; feo:runId "5cec7fed1ed04d5daaec5d5ac043c032" ; it6:realizes "SSDLite" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_sar_ship_dataset_scratch_SSDLite" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "46" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781073538351"^^ ; feo:endTime "1781087301771"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.8879153e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.5075028e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.6597211e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.5192951e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.498509e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1223114e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.498509e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.5775713e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.5775713e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5750372e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.4805128e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7174373e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.5963038e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2619332e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.508307e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "13763.42e0" ] . a it6:Run ; feo:runId "86f6cf8efd8a43c4ad3d28d3d6031edb" ; it6:realizes "CenterNet" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_sar_ship_dataset_scratch_CenterNet" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "38" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780641750954"^^ ; feo:endTime "1780653861451"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.903479e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.6937162e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.58374e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6129014e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5895239e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.340062e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5895239e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.6527278e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.6527278e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.6519726e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.5395011e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.6299868e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.6776925e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4210024e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86484e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "12110.5e0" ] . a it6:Run ; feo:runId "887d9da838fc4463957d66211d6b52f5" ; it6:realizes "SSD" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_sar_ship_dataset_scratch_SSD" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781028906637"^^ ; feo:endTime "1781073516718"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.42879e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "44610.08e0" ] . a it6:Run ; feo:runId "8e2ede3af1c6412c85220304926f207d" ; it6:realizes "SparseRCNN" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_sar_ship_dataset_scratch_SparseRCNN" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780934885378"^^ ; feo:endTime "1781028877124"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "0.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "-0.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "-0.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.86202e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "93991.75e0" ] . a it6:Run ; feo:runId "ae4b94741e704cfd9a5bd84382993439" ; it6:realizes "SSDLite" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_sar_ship_dataset_pretrained_imagenet1K_SSDLite" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "36" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782253260187"^^ ; feo:endTime "1782264980615"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9011534e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.5500991e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.675344e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.5439841e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5245999e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1665757e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5245999e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.6011329e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.6011329e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5987479e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.497466e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7277411e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.6196504e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.299642e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4265438e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "11720.43e0" ] . a it6:Run ; feo:runId "b31169997a92416cbf0e2a117a99af5a" ; it6:realizes "FCOS" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_sar_ship_dataset_pretrained_imagenet1K_FCOS" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "26" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782052921387"^^ ; feo:endTime "1782071548229"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9467758e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.7765613e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.6719853e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6644635e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.6501831e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4743219e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.6501831e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.7221008e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.7221008e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.720471e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.5834343e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7264201e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7364903e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.5727924e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.6185e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "18626.84e0" ] . a it6:Run ; feo:runId "dbc747a92bc34fe0b7cfe8fecf1a2461" ; it6:realizes "SSD" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_sar_ship_dataset_pretrained_imagenet1K_SSD" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782206145591"^^ ; feo:endTime "1782253238320"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.42879e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "47092.73e0" ] . a it6:Run ; feo:runId "e6035cf763244dcca4526461e0c5fcb1" ; it6:realizes "FasterRCNN" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_sar_ship_dataset_pretrained_imagenet1K_FasterRCNN" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "43" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782014311820"^^ ; feo:endTime "1782052898642"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9450709e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8244824e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.7021409e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.7003908e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.6847653e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4921927e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.6847653e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.7358342e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.7358342e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.734284e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.5999404e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7504624e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7519249e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.5600238e0" ] ; feo:hasResourceEstimate [ feo:gflops "280.3744e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "38586.82e0" ] . a it6:Run ; feo:runId "e92ca210f0b74028970e015d4e465b65" ; it6:realizes "ATSS" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_sar_ship_dataset_pretrained_imagenet1K_ATSS" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781904135040"^^ ; feo:endTime "1781921013574"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9513887e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8235369e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.7020668e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.696905e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.680774e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4582649e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.680774e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.7439034e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.7439034e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7423333e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.6049588e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7647292e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7598961e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.5634845e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.33007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "16878.53e0" ] . a it6:Run ; feo:runId "f1fb9cfd6f49496d81715cddaed2d4b5" ; it6:realizes "NanoDetPlus" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_sar_ship_dataset_pretrained_imagenet1K_NanoDetPlus" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "56" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782071571142"^^ ; feo:endTime "1782091597948"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9307804e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.6810817e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.5944181e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6119656e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5921237e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.3736038e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5921237e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.6604193e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.6604193e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.6586903e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.5361622e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.6686922e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.6795111e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4600239e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.344e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "20026.81e0" ] . a it6:Run ; feo:runId "fa7d52179eb644b099c251e708ce0a64" ; it6:realizes "DETR" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_sar_ship_dataset_pretrained_imagenet1K_DETR" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781933816192"^^ ; feo:endTime "1782014286122"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.1319e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "80469.93e0" ] . a it6:Run ; feo:runId "fb8235b923c7480cb2d4ad00628a0f7d" ; it6:realizes "RetinaNet" ; feo:onDataset "sar_ship_dataset" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_sar_ship_dataset_pretrained_imagenet1K_RetinaNet" ; feo:experimentId "333479741064403671" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "25" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782091620618"^^ ; feo:endTime "1782111858466"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9649619e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8039438e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.7024215e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.68046e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.668031e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4935886e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.668031e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.7257081e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.7257081e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.723959e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.5907483e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7474241e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7388167e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.5736277e0" ] ; feo:hasResourceEstimate [ feo:gflops "128.0447e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "20237.85e0" ] . a it6:Run ; feo:runId "0214dc8869b44b89b7cd562b50a843b4" ; it6:realizes "NanoDetPlus" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_masati_object_detection_scratch_NanoDetPlus" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "31" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780342724401"^^ ; feo:endTime "1780345734180"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.168709e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.02187504e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.05709397e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.05731617e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.05598425e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.05731616e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.1523248e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.1523248e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1406306e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1073875e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1035088e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1517e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.36147e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "3009.779e0" ] . a it6:Run ; feo:runId "26d222f504884df0a3b6da088e94c528" ; it6:realizes "FasterRCNN" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_masati_object_detection_scratch_FasterRCNN" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "42" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780332430406"^^ ; feo:endTime "1780336676956"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3500296e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.1063619e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1488681e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1556407e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1533553e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1556407e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2524519e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2524519e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.232102e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1718719e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2121053e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2485052e0" ] ; feo:hasResourceEstimate [ feo:gflops "230.2418e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "4246.55e0" ] . a it6:Run ; feo:runId "4bf8425cf7064cd7b8b4879de1e3f653" ; it6:realizes "SSD" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_masati_object_detection_scratch_SSD" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "11" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780367416373"^^ ; feo:endTime "1780368687203"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.2114653e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.03560569e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.07828247e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.07288416e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.06998719e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.07288416e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.17831e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.17831e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1700227e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1333362e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1377193e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1759839e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.52835e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1270.83e0" ] . a it6:Run ; feo:runId "514efca86adc42c68d1de24096cf1179" ; it6:realizes "RetinaNet" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_masati_object_detection_pretrained_imagenet1K_RetinaNet" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781815559850"^^ ; feo:endTime "1781816655849"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6921179e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.2470497e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.558194e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3196176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.3117334e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3196176e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4230026e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4230025e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3956545e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.3115273e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.608421e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4175002e0" ] ; feo:hasResourceEstimate [ feo:gflops "128.598e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1095.999e0" ] . a it6:Run ; feo:runId "632470240fbe4437ad8403cc6c381251" ; it6:realizes "FCOS" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_masati_object_detection_pretrained_imagenet1K_FCOS" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781811902452"^^ ; feo:endTime "1781813202642"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.7511314e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.2510842e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6531117e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3446154e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.3316562e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3446154e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4317766e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4317766e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.4056256e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.313021e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.6901754e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4221321e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.68e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1300.19e0" ] . a it6:Run ; feo:runId "741860c6148049c7ac78ce93428ca097" ; it6:realizes "CenterNet" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_masati_object_detection_scratch_CenterNet" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "55" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780318980891"^^ ; feo:endTime "1780321888705"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86669e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2907.814e0" ] . a it6:Run ; feo:runId "76bcb689d895431e8d69c9b751cc414f" ; it6:realizes "SSDLite" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_masati_object_detection_scratch_SSDLite" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "14" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780368699633"^^ ; feo:endTime "1780371649102"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.02671519e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "3.71104E-4" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.01262434e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.005232945e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.005332124e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.005232944e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.05193812e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.05193812e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.04384217e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.02728144e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0331579e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.05237292e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.5128797e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2949.469e0" ] . a it6:Run ; feo:runId "90c13b81d40641beb270c220e147dcf6" ; it6:realizes "FasterRCNN" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_masati_object_detection_pretrained_imagenet1K_FasterRCNN" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781809669393"^^ ; feo:endTime "1781811889623"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5210546e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.1886694e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.3646583e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2439479e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2350354e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2439479e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3438256e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3438256e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3173984e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2377764e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.3905263e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3361965e0" ] ; feo:hasResourceEstimate [ feo:gflops "280.3847e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2220.23e0" ] . a it6:Run ; feo:runId "91ace2d033f34c3d9ad403b37a1de530" ; it6:realizes "DETR" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_masati_object_detection_scratch_DETR" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780321900982"^^ ; feo:endTime "1780332417512"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.13221e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "10516.53e0" ] . a it6:Run ; feo:runId "a338d19870394ec6a47bb8b043018136" ; it6:realizes "ATSS" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_masati_object_detection_pretrained_imagenet1K_ATSS" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "40" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781796122599"^^ ; feo:endTime "1781798157268"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.684441e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.2088187e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.5690116e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2949932e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2856849e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2949932e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3782885e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3782885e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3529662e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2667848e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.5940351e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3733586e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.35221e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2034.669e0" ] . a it6:Run ; feo:runId "aff3eb01d71f42a1adf5dbc6c0fd16d7" ; it6:realizes "NanoDetPlus" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_masati_object_detection_pretrained_imagenet1K_NanoDetPlus" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "57" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781813214099"^^ ; feo:endTime "1781815548356"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.2181733e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.03515158e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1005351e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0771135e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.07431764e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.07711349e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.1722711e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.1722711e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1590114e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1137459e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1270175e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1708003e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.36147e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2334.257e0" ] . a it6:Run ; feo:runId "ba34f96d649f42069fbe9c3ce707bbc2" ; it6:realizes "SparseRCNN" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_masati_object_detection_pretrained_imagenet1K_SparseRCNN" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "32" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781816668494"^^ ; feo:endTime "1781819514094"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.7125071e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.2365182e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6602145e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.321445e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.312673e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.321445e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4342674e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4342673e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.4013944e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.3083538e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7003509e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4239618e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.86294e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2845.6e0" ] . a it6:Run ; feo:runId "c2171756f3eb45f2a9ac52f858608719" ; it6:realizes "CenterNet" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_masati_object_detection_pretrained_imagenet1K_CenterNet" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "178" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781798169501"^^ ; feo:endTime "1781806931384"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86669e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "8761.883e0" ] . a it6:Run ; feo:runId "c636d1fc7c764f1b9db43b114e5bc9be" ; it6:realizes "ATSS" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_masati_object_detection_scratch_ATSS" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780316713356"^^ ; feo:endTime "1780318968270"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5665956e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.1088107e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.3525741e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2240741e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2184209e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2240741e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.31095e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.31095e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2890348e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2178545e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.381579e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3070178e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.35221e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2254.914e0" ] . a it6:Run ; feo:runId "c6ebf3894fec451b8310aca35cf7d20d" ; it6:realizes "RetinaNet" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_masati_object_detection_scratch_RetinaNet" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "53" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780345744690"^^ ; feo:endTime "1780351601946"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5600735e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.1269165e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.3572851e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2238439e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2195154e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2238439e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3356951e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3356951e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3147007e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.237663e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.4524561e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3326093e0" ] ; feo:hasResourceEstimate [ feo:gflops "128.598e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "5857.256e0" ] . a it6:Run ; feo:runId "ca9e3aae71cd451aa65440ff45d640d7" ; it6:realizes "SparseRCNN" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_masati_object_detection_scratch_SparseRCNN" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780351614037"^^ ; feo:endTime "1780367394687"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "-0.25e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "-0.25e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.86294e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "15780.65e0" ] . a it6:Run ; feo:runId "d40895f473514e5693c2ed8e09aba7b8" ; it6:realizes "SSDLite" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_masati_object_detection_pretrained_imagenet1K_SSDLite" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "18" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781820465617"^^ ; feo:endTime "1781821672942"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.1428375e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.00414519e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.3041022e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.03412528e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.03162587e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.03412528e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.1155724e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.1155724e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.09929796e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.06943163e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.3619298e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1087485e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4305405e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1207.325e0" ] . a it6:Run ; feo:runId "d6ae804a45174073a09dffe485550b4f" ; it6:realizes "DETR" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_masati_object_detection_pretrained_imagenet1K_DETR" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "65" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781806945638"^^ ; feo:endTime "1781809656956"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5805792e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.09832352e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.4534976e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2183996e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2104279e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2183996e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3204547e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3204547e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2990919e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2240009e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.4963158e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3097901e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.13221e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2711.318e0" ] . a it6:Run ; feo:runId "efd6b7fc07ec4b2e96dfc0b0ad97ca58" ; it6:realizes "FCOS" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_masati_object_detection_scratch_FCOS" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "31" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780336688473"^^ ; feo:endTime "1780342713874"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.7349254e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.234584e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.5421548e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3247641e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.3147832e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3247641e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4088922e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4088921e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3820965e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2888656e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.5619298e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4025779e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.68e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "6025.401e0" ] . a it6:Run ; feo:runId "eff7839cdfe94511a711a760b3ef3e2d" ; it6:realizes "SSD" ; feo:onDataset "masati_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_masati_object_detection_pretrained_imagenet1K_SSD" ; feo:experimentId "350801041087081239" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781819529622"^^ ; feo:endTime "1781820452980"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.2751974e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.06171637e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.2377935e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1107018e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.09841281e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1107018e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2273178e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2273178e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2095833e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1486579e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.275614e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2175555e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.52835e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "923.358e0" ] . a it6:Run ; feo:runId "11e5d6c84f6d4d85920b8fd9fc39a8b2" ; it6:realizes "BIT" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_levir_cd+_scratch_BIT" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "24" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784720561102"^^ ; feo:endTime "1784732675756"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9617053e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7308683e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.96073e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9637343e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6378151e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9244277e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6867432e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9446406e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9513541e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7935174e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9773769e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9773769e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "12114.65e0" ] . a it6:Run ; feo:runId "15bbe26807bf48de8454dbd9180d1e20" ; it6:realizes "STANet" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_levir_cd+_pretrained_imagenet1K_STANet" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "41" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785641571085"^^ ; feo:endTime "1785659674025"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9707391e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.796906e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9700562e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9725378e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7031494e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9418535e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7386688e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9518983e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9579797e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8824919e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9889204e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9889204e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "18102.94e0" ] . a it6:Run ; feo:runId "187d350ffa8143d9a3f2ad2e8cfe3a88" ; it6:realizes "TinyCD" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_levir_cd+_scratch_TinyCD" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "94" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784826206388"^^ ; feo:endTime "1784861496949"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9726455e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8131456e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9718541e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9728095e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7200921e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9452492e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.777709e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9587066e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9608689e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8556554e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9853672e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9853672e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "35290.56e0" ] . a it6:Run ; feo:runId "25e011e582744d08b3f125303c564d68" ; it6:realizes "ChangeViT" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_levir_cd+_pretrained_imagenet1K_ChangeViT" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "14" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785570718612"^^ ; feo:endTime "1785579276480"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9738543e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8228311e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9732429e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9755088e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7317119e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9478804e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7587729e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9550678e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9609569e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9187566e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9921231e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9921231e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8557.868e0" ] . a it6:Run ; feo:runId "5eb3835ff6054b3887425e3ff98befcd" ; it6:realizes "ChangeFormerV6" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_levir_cd+_scratch_ChangeFormerV6" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784734548807"^^ ; feo:endTime "1784743781648"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.96349e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7511754e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9626126e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9650271e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6560522e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9279202e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7059832e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9452102e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9506347e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8129569e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9806678e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9806678e0" ] ; feo:hasResourceEstimate [ feo:gflops "138.7708e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "9232.841e0" ] . a it6:Run ; feo:runId "62eccdc2e1414d8ca2f6119e0f1050b2" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_levir_cd+_pretrained_imagenet1K_UnetChangeDetection" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "56" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785695043806"^^ ; feo:endTime "1785718485355"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9738836e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8374866e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9733217e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9748925e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7478377e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.94803e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7778004e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9534654e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.95749e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9200203e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9940227e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9940227e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "23441.55e0" ] . a it6:Run ; feo:runId "64a06dd8105643d3985292e329bfe3ab" ; it6:realizes "TinyCD" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_levir_cd+_pretrained_imagenet1K_TinyCD" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "99" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785659684315"^^ ; feo:endTime "1785695033626"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9737243e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8177173e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9729544e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9736563e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7253571e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9473332e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7874404e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9601265e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9616742e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8525772e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9861298e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9861298e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "35349.31e0" ] . a it6:Run ; feo:runId "6a0b80d35f9c45cb8f2aaeee8a093600" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_levir_cd+_scratch_HRNetChangeDetection" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "66" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784768703131"^^ ; feo:endTime "1784795622316"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9667966e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7723283e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9660062e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9673262e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6766113e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9342476e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7349707e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9483414e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9512154e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8179577e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9843416e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9843416e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "26919.19e0" ] . a it6:Run ; feo:runId "762caed6b59c4074aa61d6efc88372c6" ; it6:realizes "BIT" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_levir_cd+_pretrained_imagenet1K_BIT" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "30" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785535071736"^^ ; feo:endTime "1785549278977"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9667685e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7631343e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9659686e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9691507e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.669e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9341772e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7087316e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9485414e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9560433e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8453114e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9840482e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9840482e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "14207.24e0" ] . a it6:Run ; feo:runId "7b9c8eee08c244139bf8e67c87686434" ; it6:realizes "ChangeViT" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_levir_cd+_scratch_ChangeViT" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784755168540"^^ ; feo:endTime "1784768692983"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9709623e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8114637e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.970271e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9722562e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7180615e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9422586e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7549189e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9525273e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9574364e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8912693e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9886884e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9886884e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "13524.44e0" ] . a it6:Run ; feo:runId "93222bc7e92445e88ffabe0021f56963" ; it6:realizes "STANet" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_levir_cd+_scratch_STANet" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784819388605"^^ ; feo:endTime "1784826196310"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.956645e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6133981e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9554842e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9505044e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.544943e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9147629e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6592957e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.940638e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9326862e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5946426e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9708067e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9708067e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "6807.705e0" ] . a it6:Run ; feo:runId "a0438a70693f4c57b407c15d2c446257" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_levir_cd+_scratch_UnetChangeDetection" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "53" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784861507037"^^ ; feo:endTime "1784883835971"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9706042e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8139877e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9699588e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9708319e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7201128e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.94167e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7749873e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9505659e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9525027e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8603505e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9901595e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9901595e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "22328.93e0" ] . a it6:Run ; feo:runId "a8a8d5d65ae34430b9f46d545ec06fd8" ; it6:realizes "CSSM" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_levir_cd+_scratch_CSSM" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "22" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784743791599"^^ ; feo:endTime "1784755158653"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9576435e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6621823e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9567086e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9526147e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5785361e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.91701e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7189433e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9376848e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9318033e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6366704e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9765203e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9765203e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.776941e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "11367.05e0" ] . a it6:Run ; feo:runId "d25a8daff1924a12926bd0529f5cd89c" ; it6:realizes "CGNet" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_levir_cd+_pretrained_imagenet1K_CGNet" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785549290146"^^ ; feo:endTime "1785549734809"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9156706e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6538004e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9121974e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9296449e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5591963e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.838569e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6068307e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9104064e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9542723e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8319842e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9139955e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9139955e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "444.663e0" ] . a it6:Run ; feo:runId "e78be45847ff412dade97b3ad35faa15" ; it6:realizes "SiamCRNN" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_levir_cd+_pretrained_imagenet1K_SiamCRNN" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "86" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785607650640"^^ ; feo:endTime "1785641560404"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9728971e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8172447e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9722881e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9740407e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7250188e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9460707e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7618946e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9533101e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9575997e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8931771e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.992037e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.992037e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "33909.76e0" ] . a it6:Run ; feo:runId "ec9283331b184416862fdcef5a7db937" ; it6:realizes "CGNet" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_levir_cd+_scratch_CGNet" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "4" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784732686731"^^ ; feo:endTime "1784734537996"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9603605e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7365945e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9594313e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9609915e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6411761e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9220258e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7021437e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9415651e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9448777e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7787101e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9779886e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9779886e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1851.265e0" ] . a it6:Run ; feo:runId "f52d4d50525d4c198244a6fed98bc073" ; it6:realizes "SiamCRNN" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_levir_cd+_scratch_SiamCRNN" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "57" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784795632827"^^ ; feo:endTime "1784819378353"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9698033e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7851964e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9690647e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9708804e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6907257e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.939986e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7390509e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9519289e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9560986e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8461847e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9868288e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9868288e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "23745.53e0" ] . a it6:Run ; feo:runId "fdbb0ba2553f4d6a8b419756b5d022ea" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "levir_cd+" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_levir_cd+_pretrained_imagenet1K_HRNetChangeDetection" ; feo:experimentId "356465803992768067" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "70" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785579287159"^^ ; feo:endTime "1785607640311"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9722535e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8171667e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9716298e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9739852e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7249106e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.944825e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7530557e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9526711e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9587289e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9134748e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9913584e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9913584e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "28353.15e0" ] . a it6:Run ; feo:runId "025161294e034e13aef8132385ab7222" ; it6:realizes "DenseNet161MultiLabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_multiscene_pretrained_imagenet1K_DenseNet161MultiLabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "6" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782099742595"^^ ; feo:endTime "1782104750931"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9408923e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5835906e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6693862e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6571357e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7304915e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7753118e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.76724e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.498057e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5889253e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5889253e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.05910765e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6677818e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784715e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "5008.336e0" ] . a it6:Run ; feo:runId "094e49fe5ae24de6b9b0fed796b62419" ; it6:realizes "DenseNet161MultiLabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_multiscene_scratch_DenseNet161MultiLabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "30" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780404046191"^^ ; feo:endTime "1780434754528"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9344216e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5364814e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.630621e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6183747e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6909758e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7372167e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7261944e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4486762e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5509571e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5509571e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.06557839e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.5930845e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784715e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "30708.34e0" ] . a it6:Run ; feo:runId "0f61fc50dd444908a37be8e47aa8d6a1" ; it6:realizes "ResNet50MultiLabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_multiscene_scratch_ResNet50MultiLabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "36" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780531109150"^^ ; feo:endTime "1780566190496"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9336534e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5244664e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6237e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6087336e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.695831e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7359613e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7248002e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4338795e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.541154e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.541154e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.0663466e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.5868779e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109538e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "35081.35e0" ] . a it6:Run ; feo:runId "145adb9eecac454d9c6ca00829bb0ae5" ; it6:realizes "VGG16MultiLabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_multiscene_scratch_VGG16MultiLabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780567649861"^^ ; feo:endTime "1780594179295"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9329102e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5234287e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6256695e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6087305e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.689557e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7223187e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7139618e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4399139e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5518321e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5518321e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.06708981e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.5832108e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46634e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "26529.43e0" ] . a it6:Run ; feo:runId "3013002faeb74511be34a504c8335828" ; it6:realizes "EfficientNetB0MultiLabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_multiscene_pretrained_imagenet1K_EfficientNetB0MultiLabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782104765590"^^ ; feo:endTime "1782114292894"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9409382e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6133953e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6780993e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6688627e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7279989e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7597984e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7514443e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5383096e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6122642e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6122642e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.05906181e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.667247e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4004255e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "9527.304e0" ] . a it6:Run ; feo:runId "32ba2f1a5c11421d8f10eaf02485f514" ; it6:realizes "VGG16MultiLabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_multiscene_pretrained_imagenet1K_VGG16MultiLabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "11" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782136375833"^^ ; feo:endTime "1782142894601"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9388003e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5922953e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6673412e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.65514e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7241113e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.745265e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7397363e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5152843e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6041701e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6041701e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.06119974e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6494944e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46634e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "6518.768e0" ] . a it6:Run ; feo:runId "4ec6e072ea314c20b8cce7ab6982dfb9" ; it6:realizes "ResNet152MultiLabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_multiscene_scratch_ResNet152MultiLabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "34" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780495705578"^^ ; feo:endTime "1780531094792"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9313502e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4934059e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6045611e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5850145e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6880142e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7288443e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7160029e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.401183e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5164889e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5164889e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.06864984e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.5588589e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55686e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "35389.21e0" ] . a it6:Run ; feo:runId "5a2642972ebd4d208e7227aa62a3de1d" ; it6:realizes "MLPMixerMultilabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_multiscene_scratch_MLPMixerMultilabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "14" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780476797222"^^ ; feo:endTime "1780495690065"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9165125e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.2520858e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.4619076e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.4039564e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5566662e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6691484e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6227463e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.1924929e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.3526798e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.3526798e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.08348753e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.3573253e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61984e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "18892.84e0" ] . a it6:Run ; feo:runId "6163c127117e4b97b21497f18456ef55" ; it6:realizes "ResNet152MultiLabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_multiscene_pretrained_imagenet1K_ResNet152MultiLabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "10" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782118906249"^^ ; feo:endTime "1782125207884"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9409048e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6027657e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6699972e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6602038e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7445743e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7743509e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7668651e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5168954e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5904293e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5904293e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.05909515e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6693616e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55686e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "6301.635e0" ] . a it6:Run ; feo:runId "7e82a44d69e24411bf8b2e618a20e3dd" ; it6:realizes "AlexNetMultiLabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_multiscene_pretrained_imagenet1K_AlexNetMultiLabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "15" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782085654588"^^ ; feo:endTime "1782093616554"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9294873e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4821093e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5928956e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5707693e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6998228e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.71711e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7078269e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3950867e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5053596e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5053596e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.07051271e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.549677e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7102492e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "7961.966e0" ] . a it6:Run ; feo:runId "7edb77238aec44c6bc5519fb9132af2a" ; it6:realizes "MLPMixerMultilabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_multiscene_pretrained_imagenet1K_MLPMixerMultilabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "5" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782114311041"^^ ; feo:endTime "1782118889508"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9384655e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5830381e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6682792e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6597265e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7236605e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7387986e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7368883e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.512418e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6100492e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6100492e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.06153453e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6491681e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61984e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "4578.467e0" ] . a it6:Run ; feo:runId "82d10816cc23441b853625dff0505e40" ; it6:realizes "VisionTransformerMultilabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_multiscene_scratch_VisionTransformerMultilabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "18" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780594201342"^^ ; feo:endTime "1780606811027"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9197701e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3120793e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5029691e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.4586352e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6309756e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.678666e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6464429e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2434733e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.3995351e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.3995351e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.08022993e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.4082937e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86667e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "12609.68e0" ] . a it6:Run ; feo:runId "a6e88eece4494945a404901a7c5f46c0" ; it6:realizes "AlexNetMultiLabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_multiscene_scratch_AlexNetMultiLabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "50" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780316921567"^^ ; feo:endTime "1780363601360"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9276341e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.448423e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5776574e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5530818e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6752675e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7096189e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6905725e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3643558e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.4870796e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.4870796e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.07236586e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.514028e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7102492e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "46679.79e0" ] . a it6:Run ; feo:runId "b6b270b0faf6474298f7acd6698ce170" ; it6:realizes "SwinTransformerMultilabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_multiscene_scratch_SwinTransformerMultilabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "43" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783429874657"^^ ; feo:endTime "1783446548423"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9044017e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.03586285e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.2668826e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.1598769e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.09112214e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6042742e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.23826e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.03588419e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.1712606e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.1712606e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.09559829e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.1499484e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720924e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "16673.77e0" ] . a it6:Run ; feo:runId "c5c3252a7f1d4ad8afd025e5b6e180c1" ; it6:realizes "SwinTransformerMultilabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_multiscene_pretrained_imagenet1K_SwinTransformerMultilabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "44" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783494142262"^^ ; feo:endTime "1783507518731"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9200215e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3527569e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5334554e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.4952099e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.57243e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6548555e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6246687e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2800157e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.4500273e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.4500273e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.0799785e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.4305845e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720924e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "13376.47e0" ] . a it6:Run ; feo:runId "d9cbbb3b7d6748549dd36ffbae2b7531" ; it6:realizes "ConvNeXtTinyMultiLabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_multiscene_scratch_ConvNeXtTinyMultiLabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "41" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780363617570"^^ ; feo:endTime "1780404029045"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9259491e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4174193e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5665686e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5373152e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6506239e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6989528e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6833081e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3347389e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.4763467e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.4763467e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.07405092e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.4930458e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469697e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "40411.47e0" ] . a it6:Run ; feo:runId "deaf75b0ab2a45e5b405ded3d54055dd" ; it6:realizes "EfficientNetB0MultiLabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_multiscene_scratch_EfficientNetB0MultiLabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "47" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780434769372"^^ ; feo:endTime "1780476783168"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9292747e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4741744e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5942814e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5726929e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.662089e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.712318e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6955756e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3896437e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5098031e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5098031e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.07072526e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.5364286e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4004255e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "42013.8e0" ] . a it6:Run ; feo:runId "ef97d063b28d4cf0bffacce508a16ecf" ; it6:realizes "ConvNeXtTinyMultiLabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_multiscene_pretrained_imagenet1K_ConvNeXtTinyMultiLabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "10" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782093634452"^^ ; feo:endTime "1782099724448"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.943115e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6394444e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6974204e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6899842e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.735115e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7587992e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7528726e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5772112e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6452283e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6452283e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.05688499e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6946867e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469697e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "6089.996e0" ] . a it6:Run ; feo:runId "f337d49d40cd49168b4f695db4e8fe2f" ; it6:realizes "ResNet50MultiLabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_multiscene_pretrained_imagenet1K_ResNet50MultiLabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782125224780"^^ ; feo:endTime "1782133234862"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9417703e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6265562e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6854802e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6788292e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7410033e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7596162e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7534083e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5497016e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6245283e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6245283e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.0582297e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6776007e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109538e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "8010.082e0" ] . a it6:Run ; feo:runId "f47ab166413e468998fefd8836ca1e7f" ; it6:realizes "VisionTransformerMultilabel" ; feo:onDataset "multiscene" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_multiscene_pretrained_imagenet1K_VisionTransformerMultilabel" ; feo:experimentId "359702156171259982" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "5" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782142913551"^^ ; feo:endTime "1782147641951"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.94148e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6058777e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6738868e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6607211e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7538429e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7767328e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7709183e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5194046e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5950916e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5950916e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.05852004e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6763819e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86667e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "4728.4e0" ] . a it6:Run ; feo:runId "0b6a51608906472392326fddd3da8c85" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_pretrained_imagenet1K_DeepLabV3Plus" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "19" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772899147321"^^ ; feo:endTime "1772910242983"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9122079e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5756494e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7321052e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7251275e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4458067e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5774179e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6764593e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7197565e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7263168e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5493812e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.744885e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.744885e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.58834e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "11095.66e0" ] . a it6:Run ; feo:runId "0c45f157bbed4a3094e117f1db3ebe01" ; it6:realizes "FPN" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_pretrained_imagenet1K_FPN" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772971400295"^^ ; feo:endTime "1772976341786"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9051492e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5030921e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7105655e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6944239e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.390264e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5510676e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6020317e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6985802e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6943472e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.506955e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7229694e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7229694e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.833231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "4941.491e0" ] . a it6:Run ; feo:runId "0ee5de51b0fd41a3b7d7b6c293d1f678" ; it6:realizes "FCN" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_pretrained_imagenet1K_FCN" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "25" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772910254903"^^ ; feo:endTime "1772919410447"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9279151e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.624577e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7800352e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7706623e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4983112e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6393916e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7802515e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7668781e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7737414e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5929278e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7936517e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7936517e0" ] ; feo:hasResourceEstimate [ feo:gflops "56.52795e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "9155.544e0" ] . a it6:Run ; feo:runId "41fdb26c96bb4e77849f3640515ebe59" ; it6:realizes "PSPNet" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_scratch_PSPNet" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "25" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764926203236"^^ ; feo:endTime "1764944387665"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8912392e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5816412e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6681197e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6634376e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4405659e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5016364e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6296508e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6568503e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6571306e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5589585e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6797826e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6797826e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.965779e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "18184.43e0" ] . a it6:Run ; feo:runId "67f90cb1cfae410f91c6b45d4c15d072" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_pretrained_imagenet1K_UnetPlusPlus" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "53" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772952863837"^^ ; feo:endTime "1772964893886"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.923147e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6328023e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7654853e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7573251e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4992122e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6200698e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7278289e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7525735e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7610863e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6092849e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7788478e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7788478e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.57069e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "12030.05e0" ] . a it6:Run ; feo:runId "6ecbda57621942ddbfe3f66305c9e059" ; it6:realizes "HRNet" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_pretrained_imagenet1K_HRNet" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772919423191"^^ ; feo:endTime "1772926842719"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9332778e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6642627e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7963993e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7896367e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5370349e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6616807e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7876842e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7829662e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7867026e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6323018e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8103015e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8103015e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.68001e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "7419.528e0" ] . a it6:Run ; feo:runId "70a10dd79f6046c399ce543e7ccfdbbe" ; it6:realizes "SegFormer" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_pretrained_imagenet1K_SegFormer" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "41" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772976353522"^^ ; feo:endTime "1772986059413"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.928238e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6594372e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7810203e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7788715e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.529314e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6407164e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7107742e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7678465e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7708746e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6337578e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.794654e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.794654e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.584474e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "9705.891e0" ] . a it6:Run ; feo:runId "877d59d8029d4146a96a01de089497b0" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_scratch_UnetPlusPlus" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "46" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764985330880"^^ ; feo:endTime "1765019324396"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8738006e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4566666e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6149062e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5986831e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.3385467e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.4439455e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5372552e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6045343e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6084269e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4479214e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6256401e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6256401e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.57069e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "33993.52e0" ] . a it6:Run ; feo:runId "8892b18cb9b64f4c96e9f7754e0e9883" ; it6:realizes "FPN" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_scratch_FPN" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "18" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765045324131"^^ ; feo:endTime "1765062488230"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8484588e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3833978e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5375764e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5162226e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.2684076e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3675928e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4267225e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5285089e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5336909e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3897556e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5469605e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5469605e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.833231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "17164.1e0" ] . a it6:Run ; feo:runId "8f92ea2c551b4a58bec45e5140f660fd" ; it6:realizes "MANet" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_pretrained_imagenet1K_MANet" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "37" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772926855915"^^ ; feo:endTime "1772935855862"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9049798e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5072693e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7100487e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7000403e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.3990916e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5504461e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5125303e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6980721e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6897947e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.516152e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7224435e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7224435e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.67489e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8999.947e0" ] . a it6:Run ; feo:runId "92561dab3a294d5eb32f9a7335f6b08f" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_scratch_DeepLabV3Plus" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "30" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764872452480"^^ ; feo:endTime "1764893078123"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8377685e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3754971e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5049554e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.4994494e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.2568677e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3377527e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.3895755e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4964381e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5028525e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3742251e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.51377e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.51377e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.58834e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "20625.64e0" ] . a it6:Run ; feo:runId "926b042520134e41b41104a56f35b26e" ; it6:realizes "MANet" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_scratch_MANet" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "55" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1768108328862"^^ ; feo:endTime "1768143254312"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8801008e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.455965e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.634131e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6238059e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.3311337e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.4642693e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4752984e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6234349e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6128089e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4503552e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6452006e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6452006e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.67489e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "34925.45e0" ] . a it6:Run ; feo:runId "b0761f865c454d09819c32c2bda2508e" ; it6:realizes "Unet" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_pretrained_imagenet1K_Unet" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "36" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772944206270"^^ ; feo:endTime "1772952851878"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9150281e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5484848e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7407109e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7282303e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4338237e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5881976e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6241305e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.728217e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7271042e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5376945e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7536409e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7536409e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.72136e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8645.608e0" ] . a it6:Run ; feo:runId "b88e2127e55e4c7ca3a6ca484ec80017" ; it6:realizes "SegFormer" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_scratch_SegFormer" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1766184944026"^^ ; feo:endTime "1766307748737"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7554494e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.06655585e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.253761e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.1031046e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.04158012e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.1453186e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.04158012e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.2494807e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.06441362e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.1666667e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.2581907e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.2581907e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.584474e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "122804.7e0" ] . a it6:Run ; feo:runId "d6cb973e548a46659129bbbaa4d31ed8" ; it6:realizes "PSPNet" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_pretrained_imagenet1K_PSPNet" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "34" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772935869552"^^ ; feo:endTime "1772944195116"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9190639e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5737196e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7530258e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7420162e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4537029e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6038824e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.692731e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7403242e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7418793e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5527985e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7661708e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7661708e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.965779e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8325.564e0" ] . a it6:Run ; feo:runId "dbf7acdb790943ddbcfd77f195a2b17d" ; it6:realizes "UPerNet" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_pretrained_imagenet1K_UPerNet" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "24" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772964906030"^^ ; feo:endTime "1772971388646"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.917531e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5968434e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7483482e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7390043e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4651913e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5978885e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7509118e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7357256e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7398032e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.574281e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7614116e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7614116e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.19929e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "6482.616e0" ] . a it6:Run ; feo:runId "dd9eaf5c764340ac8e95d48c07cb56fa" ; it6:realizes "HRNet" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_scratch_HRNet" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764911713140"^^ ; feo:endTime "1764926201754"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8431293e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3784783e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5213138e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5117896e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.2626337e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.352552e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.3703075e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5125206e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4976507e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.398085e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.530414e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.530414e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.68001e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "14488.61e0" ] . a it6:Run ; feo:runId "e0629c0416f64eed8e3e905c7e96d85e" ; it6:realizes "FCN" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_scratch_FCN" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "26" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764893079625"^^ ; feo:endTime "1764911711516"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9285741e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6865687e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7820459e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7782487e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5567955e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.642098e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7868411e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7688548e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7719728e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6569181e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7956975e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7956975e0" ] ; feo:hasResourceEstimate [ feo:gflops "54.10049e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "18631.89e0" ] . a it6:Run ; feo:runId "ee90a2afbd3641c89fbf5faabc5c2a97" ; it6:realizes "UPerNet" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_scratch_UPerNet" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "31" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765019325864"^^ ; feo:endTime "1765045323069"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8488402e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4309534e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5387405e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5334459e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.3061325e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3686822e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4495996e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5296533e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5298694e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.427143e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5481448e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5481448e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.19929e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "25997.21e0" ] . a it6:Run ; feo:runId "f7e0dc4376f0419e972c52f4e1fe60f8" ; it6:realizes "Unet" ; feo:onDataset "air_polsar_seg" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_air_polsar_seg_scratch_Unet" ; feo:experimentId "362352723597566359" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "51" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764944388165"^^ ; feo:endTime "1764985329604"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8840951e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5054831e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6463197e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.636439e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.3750593e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.4774537e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5397639e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6354179e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6356818e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4953801e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.657602e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.657602e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.72136e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "40941.44e0" ] . a it6:Run ; feo:runId "1c7c9a35596a43c4b209eca5df04cc90" ; it6:realizes "EfficientNetB0" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_cowc_image_classification_scratch_EfficientNetB0" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "95" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1763722865869"^^ ; feo:endTime "1763818355272"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9957908e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9954181e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9957908e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9957906e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9908363e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9954696e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9957908e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9957904e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9953667e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9957908e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9957908e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.400382e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "95489.4e0" ] . a it6:Run ; feo:runId "3ac486b71fd94c599d7e52ba9fa1b78c" ; it6:realizes "EfficientNetB0" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_cowc_image_classification_pretrained_imagenet1K_EfficientNetB0" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "58" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769979601143"^^ ; feo:endTime "1770108605388"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9992277e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9991594e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9992277e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9992277e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9983188e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9991594e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9992277e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9992277e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9991594e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9992277e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9992277e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.400382e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "129004.2e0" ] . a it6:Run ; feo:runId "49846837752743468d7f7c28b70e22e5" ; it6:realizes "AlexNet" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_cowc_image_classification_scratch_AlexNet" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "50" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1763537773768"^^ ; feo:endTime "1763589677088"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9879002e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9868336e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9879002e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9879017e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9736672e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9867096e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9879002e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9879036e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.986958e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9879002e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9879002e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101099e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "51903.32e0" ] . a it6:Run ; feo:runId "67d6a08308f240a0bdfded7eeb81c405" ; it6:realizes "VisionTransformer" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_cowc_image_classification_pretrained_imagenet1K_VisionTransformer" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "65" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770620341081"^^ ; feo:endTime "1770770880873"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9985454e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9984168e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9985454e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9985454e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9968335e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9984367e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9985454e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9985454e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9983969e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9985454e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9985454e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "150539.8e0" ] . a it6:Run ; feo:runId "84ca7ccfec5d4819a3248697fc45dec9" ; it6:realizes "VisionTransformer" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_cowc_image_classification_scratch_VisionTransformer" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "87" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764586286186"^^ ; feo:endTime "1764845935334"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9953145e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9949018e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9953145e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9953152e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9898035e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9947522e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9953145e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9953165e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.995052e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9953145e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9953145e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "259649.1e0" ] . a it6:Run ; feo:runId "90c6089eb78f412187c9f79de0583a70" ; it6:realizes "DenseNet161" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_cowc_image_classification_pretrained_imagenet1K_DenseNet161" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "30" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769902328758"^^ ; feo:endTime "1769979587918"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9992405e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9991733e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9992405e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9992405e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9983466e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9992332e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9992405e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9992405e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9991135e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9992405e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9992405e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.78464e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "77259.16e0" ] . a it6:Run ; feo:runId "94c2961f5051449e87f0d9ba31713078" ; it6:realizes "VGG16" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_cowc_image_classification_scratch_VGG16" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "32" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764511867234"^^ ; feo:endTime "1764586281177"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9969364e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9966644e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9969364e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9969359e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9933287e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9968397e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9969364e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.996936e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9964898e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9969364e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9969364e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.4662e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "74413.94e0" ] . a it6:Run ; feo:runId "961d1c130ff84ca1ba6341f164009dbe" ; it6:realizes "ResNet50" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_cowc_image_classification_scratch_ResNet50" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "75" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764080811403"^^ ; feo:endTime "1764239839399"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9979791e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9977996e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9979791e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9979787e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9955993e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9979634e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9979791e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.997979e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9976366e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9979791e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9979791e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109469e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "159028.0e0" ] . a it6:Run ; feo:runId "9a18e9c91f35455f8ee5777afe17e091" ; it6:realizes "SwinTransformer" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_cowc_image_classification_pretrained_imagenet1K_SwinTransformer" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "56" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770457133514"^^ ; feo:endTime "1770580242273"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9994208e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9993695e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9994208e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9994208e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9987391e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9993576e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9994208e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9994208e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9993815e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9994208e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9994208e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720898e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "123108.8e0" ] . a it6:Run ; feo:runId "a4dd64dd87314aeabcec6568608761dd" ; it6:realizes "ResNet152" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_cowc_image_classification_scratch_ResNet152" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "82" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1763925095259"^^ ; feo:endTime "1764031571334"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9978761e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9976882e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9978761e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.997876e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9953763e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.997716e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9978761e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.997876e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9976603e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9978761e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9978761e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55679e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "106476.1e0" ] . a it6:Run ; feo:runId "a5be56c882ae4222918ed57ce531ae18" ; it6:realizes "DenseNet161" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_cowc_image_classification_scratch_DenseNet161" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "55" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1763634836256"^^ ; feo:endTime "1763722863652"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.998185e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.998024e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.998185e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9981848e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9960481e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9981478e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.998185e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9981849e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9979007e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.998185e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.998185e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.78464e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "88027.4e0" ] . a it6:Run ; feo:runId "b1fcb87ac5bf48a2950f107c5b3b4e2e" ; it6:realizes "ResNet152" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_cowc_image_classification_pretrained_imagenet1K_ResNet152" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "60" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770237178294"^^ ; feo:endTime "1770391121042"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.999292e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9992294e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.999292e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.999292e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9984589e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9992175e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.999292e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9992921e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9992414e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.999292e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.999292e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55679e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "153942.7e0" ] . a it6:Run ; feo:runId "c62874690b7740f090df06a500fe0a00" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_cowc_image_classification_pretrained_imagenet1K_ConvNeXtTiny" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769817619725"^^ ; feo:endTime "1769902315583"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9993693e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9993135e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9993693e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9993693e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.998627e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9993095e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9993693e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9993693e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9993175e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9993693e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9993693e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469671e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "84695.86e0" ] . a it6:Run ; feo:runId "cad3a1bde6b3433280ed4a00f8f3ad1f" ; it6:realizes "VGG16" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_cowc_image_classification_pretrained_imagenet1K_VGG16" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770580256228"^^ ; feo:endTime "1770620325318"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9979919e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9978143e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9979919e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9979919e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9956286e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9978302e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9979919e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9979919e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9977984e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9979919e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9979919e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.4662e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "40069.09e0" ] . a it6:Run ; feo:runId "cf90b87774e2418d8bd7edf68007e1ec" ; it6:realizes "AlexNet" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_cowc_image_classification_pretrained_imagenet1K_AlexNet" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "40" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769727736874"^^ ; feo:endTime "1769817606361"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9890587e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9880902e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9890587e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9890582e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9761804e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9881292e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9890587e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9890578e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9880512e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9890587e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9890587e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101099e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "89869.49e0" ] . a it6:Run ; feo:runId "d759779d1b104639bcfdfb11638194f3" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_cowc_image_classification_scratch_ConvNeXtTiny" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "24" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1763589680521"^^ ; feo:endTime "1763634833879"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.6425142e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3911773e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6425142e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5026739e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.3212571e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6425142e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4128245e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6425142e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6425142e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469671e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "45153.36e0" ] . a it6:Run ; feo:runId "df4e949f8d1346ec9e2d99923e60342b" ; it6:realizes "MLPMixer" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_cowc_image_classification_pretrained_imagenet1K_MLPMixer" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "38" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770108624739"^^ ; feo:endTime "1770237164883"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9983781e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9982348e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9983781e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9983781e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9964696e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9982109e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9983781e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9983782e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9982587e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9983781e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9983781e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "128540.1e0" ] . a it6:Run ; feo:runId "ef76d1dd143b4318b977029bb90fc445" ; it6:realizes "ResNet50" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_cowc_image_classification_pretrained_imagenet1K_ResNet50" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "52" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770391133856"^^ ; feo:endTime "1770457120318"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9992405e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9991734e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9992405e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9992405e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9983467e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9991933e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9992405e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9992405e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9991534e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9992405e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9992405e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109469e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "65986.46e0" ] . a it6:Run ; feo:runId "fa7209038a6f4579a1605e6300937059" ; it6:realizes "MLPMixer" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_cowc_image_classification_scratch_MLPMixer" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "44" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1763818357477"^^ ; feo:endTime "1763925091563"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.997284e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9970444e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.997284e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9972842e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9940887e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9969533e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.997284e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9972847e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9971357e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.997284e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.997284e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "106734.1e0" ] . a it6:Run ; feo:runId "fd0a86ed378e4d8ca5557925062892f9" ; it6:realizes "SwinTransformer" ; feo:onDataset "cowc_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_cowc_image_classification_scratch_SwinTransformer" ; feo:experimentId "389740148427289284" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "98" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764239842246"^^ ; feo:endTime "1764511862648"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9977602e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9975623e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9977602e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9977603e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9951246e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9975385e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9977602e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9977604e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9975862e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9977602e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9977602e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720898e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "272020.4e0" ] . a it6:Run ; feo:runId "039b160c4f3a4d6087bfd29ecc82c069" ; it6:realizes "MLPMixer" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_era_pretrained_imagenet1K_MLPMixer" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "25" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773140401622"^^ ; feo:endTime "1773144314525"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7539267e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7528697e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7539267e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7532153e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7418935e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7554565e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7539267e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7632786e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7607215e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7539267e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7539267e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61984e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3912.903e0" ] . a it6:Run ; feo:runId "069205add4454a76a7667ee62eb54c5b" ; it6:realizes "EfficientNetB0" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_era_pretrained_imagenet1K_EfficientNetB0" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "54" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773134640837"^^ ; feo:endTime "1773140389709"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.6823735e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.684825e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6823735e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6806863e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.666288e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7030457e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6823735e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6918553e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6840338e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6823735e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6823735e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4004114e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "5748.872e0" ] . a it6:Run ; feo:runId "20ad72c5834c4c8687dfb92e1c15a434" ; it6:realizes "VisionTransformer" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_era_pretrained_imagenet1K_VisionTransformer" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773165817037"^^ ; feo:endTime "1773167163112"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7643979e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7618255e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7643979e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7608462e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7522618e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7708239e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7643979e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7719832e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7701901e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7643979e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7643979e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86666e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1346.075e0" ] . a it6:Run ; feo:runId "2671cf9465474b91a4e70e3bef484a0f" ; it6:realizes "ResNet50" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_era_pretrained_imagenet1K_ResNet50" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "30" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773148419880"^^ ; feo:endTime "1773160949932"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7172775e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7186381e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7172775e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7141361e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7030271e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7297994e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7172775e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.720971e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7193573e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7172775e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7172775e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109516e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "12530.05e0" ] . a it6:Run ; feo:runId "3e5217878e684ae3be95463204def198" ; it6:realizes "ResNet152" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_era_scratch_ResNet152" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "99" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773092748360"^^ ; feo:endTime "1773097576474"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.2478185e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.2188607e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.2478185e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.2382487e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.206259e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2233999e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.2478185e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.2380732e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2232576e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.2478185e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.2478185e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55684e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "4828.114e0" ] . a it6:Run ; feo:runId "4709a714a37d4116906deb8734a6e1b4" ; it6:realizes "MLPMixer" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_era_scratch_MLPMixer" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "7" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773091793018"^^ ; feo:endTime "1773092736839"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.1657941e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.09722679e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.1657941e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.1120228e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.1022842e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1098792e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.1657941e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.1163123e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.1300492e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.1657941e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.1657941e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61984e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "943.821e0" ] . a it6:Run ; feo:runId "5031f1c4dbb545d48804c51a5ab1aedf" ; it6:realizes "SwinTransformer" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_era_pretrained_imagenet1K_SwinTransformer" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "26" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773160963096"^^ ; feo:endTime "1773164669891"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7766143e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7809638e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7766143e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7759988e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7650398e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7910421e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7766143e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7843967e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7801537e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7766143e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7766143e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720915e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3706.795e0" ] . a it6:Run ; feo:runId "540ba9da8a094bedba1d0b10b361462a" ; it6:realizes "VGG16" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_era_scratch_VGG16" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "59" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773102883214"^^ ; feo:endTime "1773123977911"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.2425829e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.211421e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.2425829e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.22628e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.2021752e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2082696e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.2425829e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.2227627e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2281042e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.2425829e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.2425829e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.4663e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "21094.7e0" ] . a it6:Run ; feo:runId "63bf974282f84ac89d13cf66422e58b3" ; it6:realizes "DenseNet161" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_era_pretrained_imagenet1K_DenseNet161" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "42" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773130741052"^^ ; feo:endTime "1773134629128"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7312391e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7257421e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7312391e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7283315e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7173896e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7382593e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7312391e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7369286e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7264602e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7312391e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7312391e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784691e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3888.076e0" ] . a it6:Run ; feo:runId "67c1ff2b851442b3b025554d582f8526" ; it6:realizes "DenseNet161" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_era_scratch_DenseNet161" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773086555031"^^ ; feo:endTime "1773089965027"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.3246073e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.2966476e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.3246073e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.3128618e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.2849994e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.3192871e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.3246073e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.3264825e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2977315e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.3246073e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.3246073e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784691e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3409.996e0" ] . a it6:Run ; feo:runId "6d84f555aa674809b10f6688d9e11b21" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_era_pretrained_imagenet1K_ConvNeXtTiny" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773127360943"^^ ; feo:endTime "1773130729565"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7417103e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7395745e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7417103e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7399407e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7290919e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7440227e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7417103e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7476182e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7449531e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7417103e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7417103e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469689e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3368.622e0" ] . a it6:Run ; feo:runId "86efd9d0b666487d9478227f2750eff2" ; it6:realizes "EfficientNetB0" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_era_scratch_EfficientNetB0" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "27" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773089976180"^^ ; feo:endTime "1773091781516"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.1326353e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.05655235e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.1326353e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.07118754e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.03712457e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1220826e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.1326353e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.1271802e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.07477474e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.1326353e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.1326353e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4004114e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1805.336e0" ] . a it6:Run ; feo:runId "8943abde78f14fa58758e3f2d5b5e827" ; it6:realizes "AlexNet" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_era_scratch_AlexNet" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "87" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773065254986"^^ ; feo:endTime "1773081434731"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.2373473e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.1924087e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.2373473e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.2124745e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.1924398e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1898434e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.2373473e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.2058221e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2110417e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.2373473e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.2373473e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7102041e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "16179.75e0" ] . a it6:Run ; feo:runId "9914f379656a4bc0bb85c3d855acaa07" ; it6:realizes "ResNet50" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_era_scratch_ResNet50" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "14" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773097589985"^^ ; feo:endTime "1773102807880"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.1832461e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.1033868e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.1832461e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.1218509e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.110458e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1076985e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.1832461e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.1175666e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.1289323e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.1832461e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.1832461e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109516e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "5217.895e0" ] . a it6:Run ; feo:runId "b161c7e28c44496a825b3fdb290de799" ; it6:realizes "VGG16" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_era_pretrained_imagenet1K_VGG16" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773164681788"^^ ; feo:endTime "1773165803285"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.5951134e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5965725e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5951134e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5960167e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5743515e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6237198e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5951134e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6180923e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5946371e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5951134e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5951134e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.4663e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1121.497e0" ] . a it6:Run ; feo:runId "bd5a4618d1e14de7994b8ff2e1361dc0" ; it6:realizes "ResNet152" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_era_pretrained_imagenet1K_ResNet152" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "24" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773144327578"^^ ; feo:endTime "1773148407558"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.6876091e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6851754e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6876091e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6828201e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.6718434e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6962957e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6876091e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6916459e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6894317e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6876091e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6876091e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55684e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "4079.98e0" ] . a it6:Run ; feo:runId "c22cbae084134ed4ba33b523e0475e22" ; it6:realizes "SwinTransformer" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_era_scratch_SwinTransformer" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "43" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773213399094"^^ ; feo:endTime "1773217124647"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.3664921e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3498992e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.3664921e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.3607729e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.3341241e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.3585307e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.3664921e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.3669976e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3552659e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.3664921e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.3664921e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720915e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3725.553e0" ] . a it6:Run ; feo:runId "c4e5095ebb9043ab83df8eb33bcfb1ff" ; it6:realizes "VisionTransformer" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_era_scratch_VisionTransformer" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "34" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773123993604"^^ ; feo:endTime "1773125523422"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.3158813e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3163988e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.3158813e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.3164784e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.2808422e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.3494021e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.3158813e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.3322993e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3118866e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.3158813e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.3158813e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86666e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1529.818e0" ] . a it6:Run ; feo:runId "fc2ed5c0521841929162567c3268ae21" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_era_scratch_ConvNeXtTiny" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "20" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773081448427"^^ ; feo:endTime "1773086543402"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.122164e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.008709176e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.122164e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.0265987e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.004886562e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.122164e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.01492405e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.04e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.122164e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.122164e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469689e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "5094.975e0" ] . a it6:Run ; feo:runId "ffd02a625b254a8f8642fcdaa79bb0fa" ; it6:realizes "AlexNet" ; feo:onDataset "era" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_era_pretrained_imagenet1K_AlexNet" ; feo:experimentId "392169509786259472" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "20" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773125537085"^^ ; feo:endTime "1773127349334"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.521815e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5125612e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.521815e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5151943e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.4969352e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5395536e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.521815e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5386536e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5197798e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.521815e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.521815e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7102041e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1812.249e0" ] . a it6:Run ; feo:runId "0b0c151d688140fc88c6976ac60f1715" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_ombria_scratch_UnetChangeDetection" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "22" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785534458077"^^ ; feo:endTime "1785535061364"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7937507e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7689037e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7922108e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7943619e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.63025e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6559181e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7697019e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7981701e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.804012e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7697912e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7863397e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7863397e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "603.287e0" ] . a it6:Run ; feo:runId "12da141a8ada4c2785de93f6de1fcd92" ; it6:realizes "SiamCRNN" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_ombria_pretrained_imagenet1K_SiamCRNN" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "11" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786357892131"^^ ; feo:endTime "1786358282614"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8366842e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8136668e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8344013e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.835059e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6903465e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7158564e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.822606e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8462302e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8478014e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8051611e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8228986e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8228986e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "390.483e0" ] . a it6:Run ; feo:runId "131c39e18b904b808bbaa8b362246b52" ; it6:realizes "ChangeViT" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_ombria_scratch_ChangeViT" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "6" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785531337775"^^ ; feo:endTime "1785531641925"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8169736e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7935824e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8164925e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8175659e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6631576e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6898922e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7924276e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8186444e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8212292e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7952359e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8143519e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8143519e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "304.15e0" ] . a it6:Run ; feo:runId "2434fd8efa534462a5532c802e0fcf84" ; it6:realizes "TinyCD" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_ombria_pretrained_imagenet1K_TinyCD" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "81" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786358647788"^^ ; feo:endTime "1786360330268"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8276877e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7891015e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8211098e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8178184e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6592716e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6965108e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8348668e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.853699e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8500745e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7515152e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7909173e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7909173e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1682.48e0" ] . a it6:Run ; feo:runId "2745ef42dd07480daa347045cd9c1932" ; it6:realizes "BIT" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_ombria_pretrained_imagenet1K_BIT" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "18" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786354863386"^^ ; feo:endTime "1786355389336"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8172409e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7987036e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8148005e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8179504e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6683583e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6874796e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8011783e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8258279e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8380653e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8026772e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8040636e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8040636e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "525.95e0" ] . a it6:Run ; feo:runId "4ae2f6f779de47dfb8283f731799f1c7" ; it6:realizes "CGNet" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_ombria_pretrained_imagenet1K_CGNet" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "11" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786355400416"^^ ; feo:endTime "1786355793530"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8434797e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8249225e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.840453e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8423287e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7050645e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7248115e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8335889e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8570256e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.863627e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8193729e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8245092e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8245092e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "393.114e0" ] . a it6:Run ; feo:runId "52b801d40cb74a98b3df2b2d563c85f8" ; it6:realizes "CGNet" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_ombria_scratch_CGNet" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785529846071"^^ ; feo:endTime "1785530207287"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7931026e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7746098e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7860586e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7902909e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6343144e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.647526e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7938676e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8137638e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8389656e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7727183e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7601777e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7601777e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "361.216e0" ] . a it6:Run ; feo:runId "70f597030a234d1189c0665fa4b50086" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_ombria_pretrained_imagenet1K_UnetChangeDetection" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "26" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786360340344"^^ ; feo:endTime "1786361016202"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8440956e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8294603e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8430194e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8458888e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7113609e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7286374e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8259104e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8488794e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8613429e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.840649e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8372397e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8372397e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "675.858e0" ] . a it6:Run ; feo:runId "7585f43ee10f467c98c252cb71bb841b" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_ombria_pretrained_imagenet1K_HRNetChangeDetection" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786357357640"^^ ; feo:endTime "1786357882141"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8345356e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.818171e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8324272e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.835329e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6952042e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7129553e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8196681e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.843171e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8554198e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8237202e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8219538e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8219538e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "524.501e0" ] . a it6:Run ; feo:runId "7fc8bd6fb5224a3e8ccf3cafbc377f4a" ; it6:realizes "STANet" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_ombria_scratch_STANet" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785532633570"^^ ; feo:endTime "1785533146533"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7730425e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7245165e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7680243e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7630819e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5798035e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6234086e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7534353e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.78539e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7787539e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7016497e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7514098e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7514098e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "512.963e0" ] . a it6:Run ; feo:runId "9d8614e094c8407ea65e5bac474e25b8" ; it6:realizes "SiamCRNN" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_ombria_scratch_SiamCRNN" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "8" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785532287059"^^ ; feo:endTime "1785532623595"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7976202e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7681084e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7953422e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7958176e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6302415e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6602226e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.775585e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8043965e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8054321e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7608454e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7864896e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7864896e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "336.536e0" ] . a it6:Run ; feo:runId "be7247016c554ae9a49b8dab527306fd" ; it6:realizes "CSSM" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_ombria_scratch_CSSM" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785530947213"^^ ; feo:endTime "1785531327975"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8070663e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7739895e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8077113e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8046139e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6396451e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6774461e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7815708e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8050198e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8010854e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7691429e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.810421e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.810421e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.776941e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "380.762e0" ] . a it6:Run ; feo:runId "c516ff76f2b540589e605886499077e9" ; it6:realizes "ChangeFormerV6" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_ombria_scratch_ChangeFormerV6" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785530218244"^^ ; feo:endTime "1785530936841"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8437368e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8146531e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.841821e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8395377e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6933521e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7268488e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8355385e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8522696e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8496482e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7970298e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8316255e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8316255e0" ] ; feo:hasResourceEstimate [ feo:gflops "138.7708e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "718.597e0" ] . a it6:Run ; feo:runId "c5d57f91fc724e77ae4982b1e3aba832" ; it6:realizes "TinyCD" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_ombria_scratch_TinyCD" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "59" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785533156523"^^ ; feo:endTime "1785534448134"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7886016e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.757132e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7783741e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7803938e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6137885e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6371624e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7898554e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8179464e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8242166e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7287663e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.742454e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.742454e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1291.611e0" ] . a it6:Run ; feo:runId "ca71fd101b844aaa8b1b64d2f38dac79" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_ombria_scratch_HRNetChangeDetection" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "22" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785531652173"^^ ; feo:endTime "1785532277050"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7767495e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.756336e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7736978e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.778507e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6123275e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6309194e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7598097e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7844203e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8037448e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7633653e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7632645e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7632645e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "624.877e0" ] . a it6:Run ; feo:runId "d17c33bc444b40249427838ab97da0b5" ; it6:realizes "BIT" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_ombria_scratch_BIT" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "27" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785529140329"^^ ; feo:endTime "1785529835113"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8184228e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7760699e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.815355e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8090707e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6438198e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6882695e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8154067e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8293675e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8254692e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7498936e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8018082e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8018082e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "694.784e0" ] . a it6:Run ; feo:runId "da6ca6936c5b422ca39bb467a6d7e21e" ; it6:realizes "STANet" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_ombria_pretrained_imagenet1K_STANet" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "8" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786358293551"^^ ; feo:endTime "1786358637534"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8001137e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7659431e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7963374e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7952727e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6281662e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6615953e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7838969e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8116713e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8097576e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7491158e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7815722e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7815722e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "343.983e0" ] . a it6:Run ; feo:runId "f4f5f76f2558437ca45cfbad65be4d64" ; it6:realizes "ChangeViT" ; feo:onDataset "ombria" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_ombria_pretrained_imagenet1K_ChangeViT" ; feo:experimentId "428568496019216964" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786356920676"^^ ; feo:endTime "1786357347056"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8465503e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8194391e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8428224e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8419719e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6991547e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7283431e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8439046e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8638076e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8623783e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7967272e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8228326e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8228326e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "426.38e0" ] . a it6:Run ; feo:runId "03281eb5555c4c6b85740c7c59fd4043" ; it6:realizes "BIT" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_sysu_cd_pretrained_imagenet1K_BIT" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785927666879"^^ ; feo:endTime "1785932979334"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8817091e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8322408e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8803433e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8792161e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7226681e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7862618e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8490098e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8906262e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8886992e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8166423e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8702952e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8702952e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "5312.455e0" ] . a it6:Run ; feo:runId "098ecbb8aae1452b9f9f6b62308441ce" ; it6:realizes "ChangeFormerV6" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_sysu_cd_scratch_ChangeFormerV6" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785119372478"^^ ; feo:endTime "1785128296807"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8918954e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8287129e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8903879e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8839742e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7212487e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8024317e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8890454e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9029799e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9003247e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7893567e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8781423e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8781423e0" ] ; feo:hasResourceEstimate [ feo:gflops "138.7708e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8924.329e0" ] . a it6:Run ; feo:runId "11bff7df8a0240dd96fb58b183d9beef" ; it6:realizes "TinyCD" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_sysu_cd_pretrained_imagenet1K_TinyCD" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785974085205"^^ ; feo:endTime "1785995522010"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.889164e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8366152e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8877546e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8849521e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7298191e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7981644e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8670529e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8991882e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8958105e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8114016e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8766082e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8766082e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "21436.81e0" ] . a it6:Run ; feo:runId "1a170bde94304b43b5f656a80d357ab2" ; it6:realizes "SiamCRNN" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_sysu_cd_scratch_SiamCRNN" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785150326265"^^ ; feo:endTime "1785161049770"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8905105e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8407536e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8886784e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.886673e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7350111e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7996591e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8694515e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9038021e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9009996e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8156677e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8740525e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8740525e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "10723.5e0" ] . a it6:Run ; feo:runId "27738d25cf164118aeba848cda47b77a" ; it6:realizes "ChangeViT" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_sysu_cd_pretrained_imagenet1K_ChangeViT" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "4" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785949710770"^^ ; feo:endTime "1785956309648"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9099796e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8704489e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9085317e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9073208e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7773995e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.832394e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8959095e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9233836e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9216644e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8474285e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8941499e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8941499e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "6598.878e0" ] . a it6:Run ; feo:runId "2858140b88f74b6896137f1435c54322" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_sysu_cd_pretrained_imagenet1K_HRNetChangeDetection" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "2" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785956320272"^^ ; feo:endTime "1785962131404"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8810344e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8274522e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8790853e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8768311e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7165932e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7842571e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.855842e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.893728e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.89051e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8027985e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8649148e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8649148e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "5811.132e0" ] . a it6:Run ; feo:runId "604d2d30bdc84d44af653399fe15e782" ; it6:realizes "CGNet" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_sysu_cd_scratch_CGNet" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785107266019"^^ ; feo:endTime "1785119361319"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9027695e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8619046e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9014173e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9004904e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7645881e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8205275e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.881786e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9141305e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9126278e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8434425e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8890529e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8890529e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "12095.3e0" ] . a it6:Run ; feo:runId "76a8c9336d784b698abe8dc282232228" ; it6:realizes "ChangeViT" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_sysu_cd_scratch_ChangeViT" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "6" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785135542514"^^ ; feo:endTime "1785143047211"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8990796e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8520559e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8976111e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8954107e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7511933e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8142418e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8822208e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9108653e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9081903e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8263379e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8847371e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8847371e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "7504.697e0" ] . a it6:Run ; feo:runId "7826ec714c3841a0a0cc33e0b6f60be8" ; it6:realizes "CSSM" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_sysu_cd_scratch_CSSM" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "5" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785128306966"^^ ; feo:endTime "1785135532616"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8757986e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8059052e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8746725e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8673119e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6909282e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7772604e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8604313e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8826755e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8783424e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7717108e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8668132e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8668132e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.776941e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "7225.65e0" ] . a it6:Run ; feo:runId "8bb9a96c7d9c4daea7a2dcaf01ad5345" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_sysu_cd_scratch_UnetChangeDetection" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "3" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785180627301"^^ ; feo:endTime "1785186826634"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8822703e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8203251e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8812183e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8758779e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7089588e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7876588e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.863455e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8891636e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8849866e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7901355e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8734136e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8734136e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "6199.333e0" ] . a it6:Run ; feo:runId "b66f0dc48ac2454cb2ea2845b052c686" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_sysu_cd_pretrained_imagenet1K_UnetChangeDetection" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "2" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785995532240"^^ ; feo:endTime "1786001271495"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9033824e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8624005e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9027615e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9017208e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7656445e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8227578e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.876353e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.908601e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9069699e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8495453e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8969965e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8969965e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "5739.255e0" ] . a it6:Run ; feo:runId "b86ade6fc572467c8b53f79328e0e920" ; it6:realizes "STANet" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_sysu_cd_scratch_STANet" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "8" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785161059865"^^ ; feo:endTime "1785169667705"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8600851e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7917887e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8577269e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8533488e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6708787e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7508948e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8279467e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8724313e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8668089e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7631926e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.84351e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.84351e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8607.84e0" ] . a it6:Run ; feo:runId "b887b684d5044f5eb7b6e9053cd81685" ; it6:realizes "STANet" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_sysu_cd_pretrained_imagenet1K_STANet" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "3" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785967814178"^^ ; feo:endTime "1785974075043"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.864495e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7843436e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8620983e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8530256e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.664232e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.757621e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.851396e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8776209e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8720626e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7436544e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8471152e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8471152e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "6260.865e0" ] . a it6:Run ; feo:runId "c0912f84bb9c498d8c0f0bb908acaffc" ; it6:realizes "TinyCD" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_sysu_cd_scratch_TinyCD" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785169677806"^^ ; feo:endTime "1785180617044"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8696788e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7835142e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8660118e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8556081e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6650294e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7636869e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8688556e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.891085e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8859951e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7335219e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.842311e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.842311e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "10939.24e0" ] . a it6:Run ; feo:runId "d4b852f6380347409ade3cde17eb3525" ; it6:realizes "SiamCRNN" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_sysu_cd_pretrained_imagenet1K_SiamCRNN" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "2" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785962141574"^^ ; feo:endTime "1785967804038"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8990708e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8517061e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8978289e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8954764e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7508274e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8146003e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8809865e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.909014e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.906263e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8270658e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8869158e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8869158e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "5662.464e0" ] . a it6:Run ; feo:runId "da59f73eb7ff4a57aef6e416f2728a34" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_sysu_cd_scratch_HRNetChangeDetection" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "5" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785143057526"^^ ; feo:endTime "1785150316260"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8651449e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7851407e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8629769e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8539741e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6654343e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7589792e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8497793e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8770772e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8713441e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7458728e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8493227e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8493227e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "7258.734e0" ] . a it6:Run ; feo:runId "f14b5dd7cb0040a6a411eea0d6ba4d87" ; it6:realizes "BIT" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_sysu_cd_scratch_BIT" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "6" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785099604404"^^ ; feo:endTime "1785107254809"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8794848e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8190473e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8779767e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.873656e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7066205e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7824941e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.857153e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8891033e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8846905e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.790059e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8671251e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8671251e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "7650.405e0" ] . a it6:Run ; feo:runId "f8293cfcb454473bb7d206f9c624101c" ; it6:realizes "CGNet" ; feo:onDataset "sysu_cd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_sysu_cd_pretrained_imagenet1K_CGNet" ; feo:experimentId "444431406836407170" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785932990450"^^ ; feo:endTime "1785933573201"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8932137e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8342212e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8913383e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8861464e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7278714e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8039768e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8895451e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9072722e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9042742e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7951579e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8759544e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8759544e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "582.751e0" ] . a it6:Run ; feo:runId "077b3c770c064f029b10216647c4d6e9" ; it6:realizes "SparseRCNN" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_artifive_potsdam_pretrained_imagenet1K_SparseRCNN" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782839750668"^^ ; feo:endTime "1782852193117"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.936505e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8863788e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.4418671e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.8403162e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.7818197e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2926829e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.7818197e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.8400891e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.8400891e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.8137837e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1289532e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.4636364e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8933167e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3971698e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.86202e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "12442.45e0" ] . a it6:Run ; feo:runId "0ea5a4695dcb46ffa4ca3637812782bc" ; it6:realizes "DETR" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_artifive_potsdam_scratch_DETR" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781693943234"^^ ; feo:endTime "1781697388050"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.001188119e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "5.562354E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "2.022472E-4" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "2.022472E-4" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "2.022472E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "6.434051E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "6.434051E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "6.434051E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "6.434051E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "7.210205E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.1319e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "3444.816e0" ] . a it6:Run ; feo:runId "12925dcfe9d248719334e566ce70ce36" ; it6:realizes "FCOS" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_artifive_potsdam_scratch_FCOS" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781715442977"^^ ; feo:endTime "1781727019340"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9465007e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.9028226e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.3924717e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.8534819e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.8056778e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.3603967e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.8056778e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.8491215e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.8491215e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.8272457e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1318486e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.4636364e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.9010261e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4176887e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.6185e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "11576.36e0" ] . a it6:Run ; feo:runId "261220a8594b471cb6f281276d949982" ; it6:realizes "FasterRCNN" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_artifive_potsdam_pretrained_imagenet1K_FasterRCNN" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "39" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782787094403"^^ ; feo:endTime "1782802214849"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9487953e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.9171897e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.507084e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.8936547e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.8459626e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4217266e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.8459626e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.8651571e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.8651571e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.8430339e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1357832e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.5545455e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.9141708e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4563679e0" ] ; feo:hasResourceEstimate [ feo:gflops "280.3744e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "15120.45e0" ] . a it6:Run ; feo:runId "30d96c3ce79646da94ee335ff4338851" ; it6:realizes "RetinaNet" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_artifive_potsdam_pretrained_imagenet1K_RetinaNet" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "7" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782834470033"^^ ; feo:endTime "1782839737958"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.951852e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.9059103e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.547456e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.8495867e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.8031546e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.3720616e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.8031546e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.8445435e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.8445435e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.8211086e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1318238e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.6909091e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.892041e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4445755e0" ] ; feo:hasResourceEstimate [ feo:gflops "128.0447e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "5267.925e0" ] . a it6:Run ; feo:runId "4802269b639548b8bbec0f93cc682fc8" ; it6:realizes "SSD" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_artifive_potsdam_scratch_SSD" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "36" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781771850730"^^ ; feo:endTime "1781786299028"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9198409e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8245692e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.2737624e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.7287692e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.6771807e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2138608e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.6771807e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.7349418e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.7349418e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7173967e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1180401e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.2727273e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.788741e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2893868e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.42879e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "14448.3e0" ] . a it6:Run ; feo:runId "558a95d9fe40418d9f5c4c0898b202cf" ; it6:realizes "FasterRCNN" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_artifive_potsdam_scratch_FasterRCNN" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "47" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781697399926"^^ ; feo:endTime "1781715430062"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9268406e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8735819e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.3451391e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.8336524e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.774798e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2653205e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.774798e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.805172e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.805172e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7861915e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1295719e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.4090909e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8638381e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3165094e0" ] ; feo:hasResourceEstimate [ feo:gflops "231.007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "18030.14e0" ] . a it6:Run ; feo:runId "7041aab0e1d84fde92a2eb5284f3a371" ; it6:realizes "RetinaNet" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_artifive_potsdam_scratch_RetinaNet" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "53" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781748294133"^^ ; feo:endTime "1781768252128"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9355536e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8562049e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.2839934e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.8035004e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.7484383e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2670116e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.7484383e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.7946053e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.7946053e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7723336e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1278644e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.3272727e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8485857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3476415e0" ] ; feo:hasResourceEstimate [ feo:gflops "128.0447e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "19957.99e0" ] . a it6:Run ; feo:runId "7617ce3b304c46e08b46f55f9785819d" ; it6:realizes "ATSS" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_artifive_potsdam_pretrained_imagenet1K_ATSS" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782746836270"^^ ; feo:endTime "1782753967707"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9380338e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8963301e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.4181047e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.8645993e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.81206e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.3293664e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.81206e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.8412521e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.8412521e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.820391e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1323682e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.4454545e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8951747e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3929245e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.33007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "7131.437e0" ] . a it6:Run ; feo:runId "8b5bd5f52b5c4a6ca161bd4ac9678bda" ; it6:realizes "SSDLite" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_artifive_potsdam_pretrained_imagenet1K_SSDLite" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "14" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782862109540"^^ ; feo:endTime "1782869643840"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.8614291e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.6823137e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.4093764e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6676853e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.6019076e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.06533688e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.6019076e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.6682752e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.6682752e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.6479584e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.108686e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.727482e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1691038e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4265438e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "7534.3e0" ] . a it6:Run ; feo:runId "93db145f57da4200891c9cfbe00026b6" ; it6:realizes "FCOS" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_artifive_potsdam_pretrained_imagenet1K_FCOS" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "4" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782802227390"^^ ; feo:endTime "1782806554168"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9560304e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.9159028e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.5164781e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.8728582e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.825788e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.3823409e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.825788e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.8544915e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.8544915e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.8306112e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1336303e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.5636364e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.9032168e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4476415e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.6185e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "4326.778e0" ] . a it6:Run ; feo:runId "a9e961009c4046b288af2f2ce12c3589" ; it6:realizes "NanoDetPlus" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_artifive_potsdam_pretrained_imagenet1K_NanoDetPlus" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "77" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782806566006"^^ ; feo:endTime "1782834457043"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.8865552e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.7413847e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.102546e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.7020717e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.6434465e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1166618e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.6434465e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.6880228e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.6880228e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.6696857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1121752e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.2e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7483361e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1877359e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.344e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "27891.04e0" ] . a it6:Run ; feo:runId "ad89aa40ced7496880dc217bc2fe47db" ; it6:realizes "NanoDetPlus" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_artifive_potsdam_scratch_NanoDetPlus" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "57" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781727031771"^^ ; feo:endTime "1781748281608"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.8816987e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.7248279e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.1158062e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6898286e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.6310437e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.09968262e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.6310437e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.6777036e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.6777036e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.6595644e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1105914e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.1363636e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7388796e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1714623e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.344e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "21249.84e0" ] . a it6:Run ; feo:runId "c5fa3a2e16bc4b09abe3e978b84e9c2e" ; it6:realizes "CenterNet" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_artifive_potsdam_scratch_CenterNet" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781682088091"^^ ; feo:endTime "1781693930587"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.8539799e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.7371442e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.1247525e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6974668e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.6332799e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.08511112e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.6332799e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.6707498e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.6707498e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.6587231e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1134868e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.1181818e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7392402e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1025943e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86484e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "11842.5e0" ] . a it6:Run ; feo:runId "cdb11eb37dc946c4a516a5daaaf69891" ; it6:realizes "SSDLite" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_artifive_potsdam_scratch_SSDLite" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781786311324"^^ ; feo:endTime "1781796110232"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.829963e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.5833779e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.2793494e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.5997498e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5311387e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.02184405e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5311387e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.6060876e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.6060876e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5861421e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.09757486e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.2909091e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.6658902e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1056604e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.508307e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "9798.908e0" ] . a it6:Run ; feo:runId "d78cc8c31b2e409cb3b789c9746e9c06" ; it6:realizes "CenterNet" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_artifive_potsdam_pretrained_imagenet1K_CenterNet" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "46" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782753980465"^^ ; feo:endTime "1782771121396"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.907518e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8478237e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.365099e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.8004743e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.7389196e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1942392e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.7389196e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.7779015e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.7779015e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7607771e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1252908e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.3818182e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8425679e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2382075e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86484e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "17140.93e0" ] . a it6:Run ; feo:runId "da90fda4d4724be9b731507cbfbae547" ; it6:realizes "DETR" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_artifive_potsdam_pretrained_imagenet1K_DETR" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "42" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782771134212"^^ ; feo:endTime "1782787081812"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9287106e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8692101e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.490099e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.7930535e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.7376487e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.3075432e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.7376487e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.8102202e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.8102202e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7874289e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1193269e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.4909091e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8622851e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3757075e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.1319e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "15947.6e0" ] . a it6:Run ; feo:runId "e0be2212be2b4b8bad141de760197b76" ; it6:realizes "ATSS" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_artifive_potsdam_scratch_ATSS" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "31" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781669420851"^^ ; feo:endTime "1781682075363"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9138152e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8487042e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.3027723e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.813514e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.7543518e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.221118e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.7543518e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.7869587e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.7869587e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7679535e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1267261e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.3454545e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8479201e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2799528e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.33007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "12654.51e0" ] . a it6:Run ; feo:runId "e4871a073e134cfa8f69ed918c708554" ; it6:realizes "SparseRCNN" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_artifive_potsdam_scratch_SparseRCNN" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781768264837"^^ ; feo:endTime "1781771836840"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "2.785469E-4" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "3.160227E-6" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "4.617297E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "4.136405E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "4.136405E-5" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.01534274e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.01534274e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.001237317e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "4.94927E-5" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.01719357e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.86202e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "3572.003e0" ] . a it6:Run ; feo:runId "f0a251873973489bb948d98f52fde909" ; it6:realizes "SSD" ; feo:onDataset "artifive_potsdam" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_artifive_potsdam_pretrained_imagenet1K_SSD" ; feo:experimentId "464390921629464842" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "22" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782852208192"^^ ; feo:endTime "1782862097336"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.9305602e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.8755283e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.4230363e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.7986566e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.7481734e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2762051e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.7481734e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.7896065e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.7896065e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.7701064e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1247464e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.4454545e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8428453e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3457547e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.42879e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "9889.144e0" ] . a it6:Run ; feo:runId "000fa5bf32714aab9b880f6759b03b84" ; it6:realizes "STANet" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_season_varying_cdd_pretrained_imagenet1K_STANet" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "36" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785824797479"^^ ; feo:endTime "1785841145934"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9769677e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9436125e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9768769e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9765494e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8964028e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9547989e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9608996e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.980746e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9803576e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9275829e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9730381e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9730381e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "16348.45e0" ] . a it6:Run ; feo:runId "0dd92ec902644c958c741cb3dd6d3648" ; it6:realizes "SiamCRNN" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_season_varying_cdd_scratch_SiamCRNN" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "63" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784969215206"^^ ; feo:endTime "1784994879736"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9812959e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9534374e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9812299e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9809401e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9132815e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9631515e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9715287e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9847021e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9844293e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9367426e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9777821e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9777821e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "25664.53e0" ] . a it6:Run ; feo:runId "1f0f6a7265fb4198b23df7c6275ef9ef" ; it6:realizes "CGNet" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_season_varying_cdd_pretrained_imagenet1K_CGNet" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785730199329"^^ ; feo:endTime "1785730634145"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9461228e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8776911e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9451974e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9428365e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7923862e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8960893e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9496318e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9617171e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.960887e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8245937e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9292356e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9292356e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "434.816e0" ] . a it6:Run ; feo:runId "6090dac1ef24489494c86bb7a08e94fa" ; it6:realizes "BIT" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_season_varying_cdd_scratch_BIT" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "46" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784883847656"^^ ; feo:endTime "1784903681707"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9760033e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9394732e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9759036e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9753759e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8895651e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9529412e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9640262e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9799716e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9795144e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9175671e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9718693e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9718693e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "19834.05e0" ] . a it6:Run ; feo:runId "681ae95a91ce4a68b4b91cd523e87278" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_season_varying_cdd_pretrained_imagenet1K_HRNetChangeDetection" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785796901342"^^ ; feo:endTime "1785811026073"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9836084e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9586267e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9835619e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9832938e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9223887e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9676555e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9767101e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9863601e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9861542e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.941988e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9807796e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9807796e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "14124.73e0" ] . a it6:Run ; feo:runId "724040ff257c475686e3824893dd3aab" ; it6:realizes "CGNet" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_season_varying_cdd_scratch_CGNet" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784903693099"^^ ; feo:endTime "1784904126618"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9212515e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7636713e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9203405e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9105418e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.657771e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8524358e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.87262e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9311118e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9241548e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7075778e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9098155e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9098155e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "433.519e0" ] . a it6:Run ; feo:runId "737ea09fcd8d4138aff49dca3acc0692" ; it6:realizes "ChangeFormerV6" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_season_varying_cdd_scratch_ChangeFormerV6" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784904137537"^^ ; feo:endTime "1784909473323"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.956726e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8888868e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9564361e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9549322e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8109579e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9165094e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9255141e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.962887e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9612486e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8583648e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9500711e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9500711e0" ] ; feo:hasResourceEstimate [ feo:gflops "138.7708e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "5335.786e0" ] . a it6:Run ; feo:runId "944c072df70846a4ad646c421f7b95f1" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_season_varying_cdd_scratch_HRNetChangeDetection" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "46" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784948902506"^^ ; feo:endTime "1784969204986"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.969366e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.920149e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9692399e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9680994e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8583847e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9403158e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9584674e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9732445e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9725708e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8885424e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9652682e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9652682e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "20302.48e0" ] . a it6:Run ; feo:runId "9e79b2fe28c84a24a7aa6f4f0fdec061" ; it6:realizes "ChangeViT" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_season_varying_cdd_pretrained_imagenet1K_ChangeViT" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "41" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785778965741"^^ ; feo:endTime "1785796890722"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9836721e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9597341e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9836242e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9834434e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9242977e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9677762e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.973082e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9865129e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9863106e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9471316e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9807524e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9807524e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "17924.98e0" ] . a it6:Run ; feo:runId "a5f738dcca9c40bda5550770a320296b" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_season_varying_cdd_pretrained_imagenet1K_UnetChangeDetection" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "41" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785877193712"^^ ; feo:endTime "1785895491292"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9873206e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9688855e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9872951e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9871983e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9406974e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9749091e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.978126e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.989283e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.989166e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9600033e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9853153e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9853153e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "18297.58e0" ] . a it6:Run ; feo:runId "a936e312916d437ba52049b9112191ba" ; it6:realizes "TinyCD" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_season_varying_cdd_scratch_TinyCD" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785010667937"^^ ; feo:endTime "1785046662947"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9682517e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9184554e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9680862e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9670589e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.855627e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9381463e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9532343e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.973159e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9723469e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8890673e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.963066e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.963066e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "35995.01e0" ] . a it6:Run ; feo:runId "c07694e2c1d84b469bb0ab30a14ff8aa" ; it6:realizes "CSSM" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_season_varying_cdd_scratch_CSSM" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "27" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784909483363"^^ ; feo:endTime "1784922870497"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9438285e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8442448e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9433946e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9391644e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7506993e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8928541e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9165806e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9507401e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9479246e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.795499e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9361616e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9361616e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.776941e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "13387.13e0" ] . a it6:Run ; feo:runId "c23aaa9bc8f14bf791a4055acad57575" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_season_varying_cdd_scratch_UnetChangeDetection" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "32" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785046673038"^^ ; feo:endTime "1785061750316"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9760612e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9389454e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9759587e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9753513e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8887263e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9530461e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9667796e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9801583e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9797245e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9145183e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9717948e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9717948e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "15077.28e0" ] . a it6:Run ; feo:runId "e3482ad002c34aa9b8ef394611890824" ; it6:realizes "ChangeViT" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_season_varying_cdd_scratch_ChangeViT" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "64" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784922880785"^^ ; feo:endTime "1784948891770"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9815612e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9538918e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.981501e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9812055e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9140835e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9636739e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9721672e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9847188e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9844521e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9370669e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9783041e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9783041e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "26010.99e0" ] . a it6:Run ; feo:runId "e42c5f1f25564c80bd4076c1b72f8b2a" ; it6:realizes "SiamCRNN" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_season_varying_cdd_pretrained_imagenet1K_SiamCRNN" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785811036326"^^ ; feo:endTime "1785824787136"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9856917e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9648378e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9856552e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9855243e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9333871e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9717161e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9760402e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9881792e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9880272e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9541546e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.983144e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.983144e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "13750.81e0" ] . a it6:Run ; feo:runId "ecc704fd0caa4ba6bf2656e18308fca9" ; it6:realizes "BIT" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_season_varying_cdd_pretrained_imagenet1K_BIT" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "23" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785718496004"^^ ; feo:endTime "1785730188199"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.977174e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9424965e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9770793e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9765877e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8946198e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9551858e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9667566e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9811487e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9807436e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9208009e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9730435e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9730435e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "11692.19e0" ] . a it6:Run ; feo:runId "f01ef2c00a5c465e8f18f51b70bd097e" ; it6:realizes "TinyCD" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_season_varying_cdd_pretrained_imagenet1K_TinyCD" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "99" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785841156168"^^ ; feo:endTime "1785877183439"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9666476e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.914965e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9664702e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9654403e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8501174e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.935116e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9483856e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9716371e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9707207e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8865445e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.961358e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.961358e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "36027.27e0" ] . a it6:Run ; feo:runId "fb8304ce6b284919a1483a80f37dab1f" ; it6:realizes "STANet" ; feo:onDataset "season_varying_cdd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_season_varying_cdd_scratch_STANet" ; feo:experimentId "487131236417932510" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "34" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1784994890222"^^ ; feo:endTime "1785010657630"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.96282e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9013104e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9626206e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9608526e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8295554e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9279349e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9497926e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9678119e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9667966e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8633975e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9574846e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9574846e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "15767.41e0" ] . a it6:Run ; feo:runId "029fe21b6be14f69b0a8db04bc267da7" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_geonrw_scratch_DeepLabV3Plus" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "30" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776847233103"^^ ; feo:endTime "1776931753237"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9476374e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3699442e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6672575e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6817928e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.2734335e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.500665e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4373951e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5775231e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6332243e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4132491e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7900072e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7900072e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.59489e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "84520.13e0" ] . a it6:Run ; feo:runId "1f660708dda34c28aaa19f3ceccff0a1" ; it6:realizes "HRNet" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_geonrw_scratch_HRNet" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "27" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776982177504"^^ ; feo:endTime "1777061867110"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9514057e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4465335e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6912035e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7085658e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.3348172e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5281214e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4395241e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5982488e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6395117e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5164851e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8183584e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8183584e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.69975e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "79689.61e0" ] . a it6:Run ; feo:runId "200080467a6a464aae5b292984674ce0" ; it6:realizes "SegFormer" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_geonrw_pretrained_imagenet1K_SegFormer" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "27" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1779869889339"^^ ; feo:endTime "1779947657414"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9569619e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5496515e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.726511e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7593868e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4266609e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5704886e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5204428e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.628808e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7002832e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6809597e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.860161e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.860161e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.591028e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "77768.07e0" ] . a it6:Run ; feo:runId "20a2b9211c5d48efab93357472dd55cf" ; it6:realizes "FCN" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_geonrw_scratch_FCN" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "14" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776931765369"^^ ; feo:endTime "1776982165580"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9559611e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5242049e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7201514e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7435976e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4057452e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5626849e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5226642e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6233038e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.687841e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6353893e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8526316e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8526316e0" ] ; feo:hasResourceEstimate [ feo:gflops "54.10442e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "50400.21e0" ] . a it6:Run ; feo:runId "34122c6651634d3da096037baf035a4e" ; it6:realizes "MANet" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_geonrw_scratch_MANet" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1777061880847"^^ ; feo:endTime "1777064491614"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9062729e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.114734e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.4044037e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.4089256e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.07901826e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.2534499e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1432569e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.3500185e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4726875e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.183314e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.4787984e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.4787984e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.72208e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2610.767e0" ] . a it6:Run ; feo:runId "5484043e4ab74ceda8181bc22187da57" ; it6:realizes "Unet" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_geonrw_scratch_Unet" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "25" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1777142007481"^^ ; feo:endTime "1777214818847"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9500293e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.408316e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6824573e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7093648e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.306091e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5179774e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.3865804e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5906788e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6462308e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5051053e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8080032e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8080032e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.76855e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "72811.37e0" ] . a it6:Run ; feo:runId "60677e5f3f79451faa5fb54bf3fe9a19" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_geonrw_pretrained_imagenet1K_DeepLabV3Plus" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1779357907386"^^ ; feo:endTime "1779412316184"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9554033e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5048624e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7166065e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7396796e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.3881266e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5583684e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5159595e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6202355e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6906938e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6357934e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8484345e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8484345e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.59489e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "54408.8e0" ] . a it6:Run ; feo:runId "63ff3757ef9a43c5a0e32b648b3f95ce" ; it6:realizes "PSPNet" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_geonrw_scratch_PSPNet" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "27" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1777064503576"^^ ; feo:endTime "1777141996499"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9508481e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4741262e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6876603e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7085573e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.3499976e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5239956e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4563061e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5951821e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6462299e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.542379e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8141633e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8141633e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.990682e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "77492.92e0" ] . a it6:Run ; feo:runId "677d9f5321ce4ffaabec950b99ab4194" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_geonrw_pretrained_imagenet1K_UnetPlusPlus" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "27" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1779671407886"^^ ; feo:endTime "1779749235361"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9578351e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5412872e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7320599e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7596781e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4226648e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5773616e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.561907e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6336108e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.711078e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6760427e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8667308e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8667308e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.61787e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "77827.48e0" ] . a it6:Run ; feo:runId "6e55bd74c6db4a89bfb8ef0e0fa66e8a" ; it6:realizes "MANet" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_geonrw_pretrained_imagenet1K_MANet" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "5" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1779516984691"^^ ; feo:endTime "1779529933145"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9512156e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3102045e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6899957e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6936711e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.2362955e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5267125e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2825103e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5972034e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6227522e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3992419e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8169284e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8169284e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.72208e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "12948.45e0" ] . a it6:Run ; feo:runId "9a7d557573aa4a449375026df5943732" ; it6:realizes "FPN" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_geonrw_scratch_FPN" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1777446644175"^^ ; feo:endTime "1777540194387"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9483436e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3984894e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6717452e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6880716e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.2941997e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5057351e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4151489e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5814073e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6349444e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4626401e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7953204e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7953204e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.837164e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "93550.21e0" ] . a it6:Run ; feo:runId "a3b1070757824efcbbf321c9570b26c9" ; it6:realizes "HRNet" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_geonrw_pretrained_imagenet1K_HRNet" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "15" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1779464514434"^^ ; feo:endTime "1779516971911"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9576405e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5326278e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7308235e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7540482e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4170429e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.575825e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4983099e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6325407e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6858393e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6762611e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8652669e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8652669e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.69975e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "52457.48e0" ] . a it6:Run ; feo:runId "afb935ac6bb748b5ac2c98ebe0590b54" ; it6:realizes "SegFormer" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_geonrw_scratch_SegFormer" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "31" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1777540207841"^^ ; feo:endTime "1777625471257"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9489823e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4343589e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6758041e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6990476e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.3169049e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5103505e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4225983e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5849203e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6387652e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5127231e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.800126e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.800126e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.591028e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "85263.42e0" ] . a it6:Run ; feo:runId "c37ddbe9ddb342d6a7e2ae4189829584" ; it6:realizes "UPerNet" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_geonrw_pretrained_imagenet1K_UPerNet" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "23" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1779749247409"^^ ; feo:endTime "1779819575519"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9560722e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5232945e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7208572e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.74666e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4042117e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.563547e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.545959e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6239146e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7020592e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.629835e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8534671e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8534671e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.20584e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "70328.11e0" ] . a it6:Run ; feo:runId "cefd3153fbba49caae7e1772d94aa991" ; it6:realizes "FPN" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_geonrw_pretrained_imagenet1K_FPN" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "14" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1779819586998"^^ ; feo:endTime "1779869877308"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9548858e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5104235e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7133181e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7357264e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.3903754e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5543857e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5109235e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6173894e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6810351e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.609892e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8445412e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8445412e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.837164e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "50290.31e0" ] . a it6:Run ; feo:runId "cf3b6227440744d8aae43a0448e7a342" ; it6:realizes "PSPNet" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_geonrw_pretrained_imagenet1K_PSPNet" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "27" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1779529945676"^^ ; feo:endTime "1779606876560"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9540664e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5076151e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7081111e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7302903e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.3863058e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5481207e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5083881e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6128826e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6750503e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.594526e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8383763e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8383763e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.990682e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "76930.88e0" ] . a it6:Run ; feo:runId "d4e467caf358437095bc545fd2ee5f17" ; it6:realizes "FCN" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_geonrw_pretrained_imagenet1K_FCN" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "15" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1779412327855"^^ ; feo:endTime "1779464501242"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9553085e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.511297e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7160045e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7379843e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.3946285e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5576379e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5177322e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6197146e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6862204e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6203663e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8477218e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8477218e0" ] ; feo:hasResourceEstimate [ feo:gflops "56.53188e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "52173.39e0" ] . a it6:Run ; feo:runId "d4f9bd90fcf24fa8a288a26f52add925" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_geonrw_scratch_UnetPlusPlus" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "45" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1777214830379"^^ ; feo:endTime "1777329108977"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9543259e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4878773e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7097601e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7347169e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.3707584e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5500994e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4690093e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6143099e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6668488e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6023737e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8403287e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8403287e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.61787e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "114278.6e0" ] . a it6:Run ; feo:runId "ead550a78bec4ee2bbbc7c031da8de1e" ; it6:realizes "UPerNet" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_geonrw_scratch_UPerNet" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "32" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1777329122261"^^ ; feo:endTime "1777446632435"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.950211e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.423275e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.683612e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7009458e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.3143499e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5193089e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4298093e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5916782e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6358916e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4825974e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8093703e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8093703e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.20584e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "117510.2e0" ] . a it6:Run ; feo:runId "fea1c826dd0749f289573ee34f7d2ac4" ; it6:realizes "Unet" ; feo:onDataset "geonrw" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_geonrw_pretrained_imagenet1K_Unet" ; feo:experimentId "507859209644026143" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1779606887676"^^ ; feo:endTime "1779671396204"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9562238e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5212276e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7218204e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7494488e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4030683e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5647253e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5427815e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6247483e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7050968e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6532091e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8546076e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8546076e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.76855e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "64508.53e0" ] . a it6:Run ; feo:runId "056e18c2ddcf405cb67fc4b47cc2dbc7" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_dlrsd_pretrained_imagenet1K_UnetPlusPlus" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "70" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773236456657"^^ ; feo:endTime "1773238965525"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.981443e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8015727e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8329874e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8330372e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7021542e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7137776e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8116123e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8329874e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8343463e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7930242e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8329874e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8329874e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.68394e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2508.868e0" ] . a it6:Run ; feo:runId "1968de58d9d74cbdbce22fb1eb691d8c" ; it6:realizes "HRNet" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_dlrsd_pretrained_imagenet1K_HRNet" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "37" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773227613253"^^ ; feo:endTime "1773229122517"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9833483e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8131605e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8501351e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8501692e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7200731e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7393348e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.815919e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8501351e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8505689e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.810701e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8501351e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8501351e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.72739e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1509.264e0" ] . a it6:Run ; feo:runId "2a27c40f6e7b45e1b8c4abbd1eb9eeb9" ; it6:realizes "UPerNet" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_dlrsd_pretrained_imagenet1K_UPerNet" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "53" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773238979378"^^ ; feo:endTime "1773240936310"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9820554e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7988692e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8384984e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8375526e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6990414e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7219089e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8040487e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8384984e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8379512e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7951372e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8384984e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8384984e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.21502e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1956.932e0" ] . a it6:Run ; feo:runId "549c2b8d999543e8a39e25d6d11b93a2" ; it6:realizes "MANet" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_dlrsd_pretrained_imagenet1K_MANet" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "85" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773229138469"^^ ; feo:endTime "1773232093200"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9818591e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8008626e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8367317e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8366276e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7010165e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7192939e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.800677e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8367317e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.836947e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8015572e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8367317e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8367317e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.78814e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2954.731e0" ] . a it6:Run ; feo:runId "59e15e2f9dce4fc5a54c7914d6674efc" ; it6:realizes "HRNet" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_dlrsd_scratch_HRNet" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "56" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765450965898"^^ ; feo:endTime "1765454741870"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9717649e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6949778e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7458838e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7456349e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5575232e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5947486e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7316523e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7458838e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7493109e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6702388e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7458838e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7458838e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.72739e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "3775.972e0" ] . a it6:Run ; feo:runId "67dbab2faa774f258db1953bda4fffa4" ; it6:realizes "PSPNet" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_dlrsd_scratch_PSPNet" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "65" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765802996621"^^ ; feo:endTime "1765810970892"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9699849e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.670171e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7298638e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.730474e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5313519e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5746343e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6839408e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7298638e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7378467e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6713282e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7298638e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7298638e0" ] ; feo:hasResourceEstimate [ feo:gflops "3.025548e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "7974.271e0" ] . a it6:Run ; feo:runId "881f60f0156a464a8899a90e7635ed5d" ; it6:realizes "FCN" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_dlrsd_scratch_FCN" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765449216302"^^ ; feo:endTime "1765450964012"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9819623e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7903425e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8376605e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8374676e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6866515e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7206676e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7925656e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8376605e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8387386e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7901646e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8376605e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8376605e0" ] ; feo:hasResourceEstimate [ feo:gflops "54.10993e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1747.71e0" ] . a it6:Run ; feo:runId "8c65f7cdbd19423bba641d6f57cf1601" ; it6:realizes "Unet" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_dlrsd_pretrained_imagenet1K_Unet" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "75" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773233937701"^^ ; feo:endTime "1773236442138"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9812119e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.793189e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8309073e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8311969e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6900943e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7107283e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7947839e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8309073e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8325047e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7944073e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8309073e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8309073e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.83461e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2504.437e0" ] . a it6:Run ; feo:runId "8dea9246538f40f58ebde03f8f6c86c2" ; it6:realizes "FPN" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_dlrsd_pretrained_imagenet1K_FPN" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "40" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773240949258"^^ ; feo:endTime "1773243151571"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9802676e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7747436e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8224085e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8221344e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.665132e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6983819e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7745338e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8224085e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8226505e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7759063e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8224085e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8224085e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.842669e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2202.313e0" ] . a it6:Run ; feo:runId "8fc9feb8827e4c7f822a9b7e662c7e39" ; it6:realizes "FPN" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_dlrsd_scratch_FPN" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "53" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765842675322"^^ ; feo:endTime "1765850994113"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.967402e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6439997e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7066177e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7088621e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5022474e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5463333e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6658854e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7066177e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7157976e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.630705e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7066177e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7066177e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.842669e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8318.791e0" ] . a it6:Run ; feo:runId "93f1f53ceb8442d99489782fc13790a0" ; it6:realizes "UPerNet" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_dlrsd_scratch_UPerNet" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "46" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765835305576"^^ ; feo:endTime "1765842664004"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9678324e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6385379e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7104914e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7112229e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4982109e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5509784e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6667078e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7104914e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7174378e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6245287e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7104914e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7104914e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.21502e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "7358.428e0" ] . a it6:Run ; feo:runId "9487c34bd72b4701ad16cbd8ea258f97" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_dlrsd_pretrained_imagenet1K_DeepLabV3Plus" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "45" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773224290808"^^ ; feo:endTime "1773226039720"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9815749e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7927135e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8341743e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8340736e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6901423e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7155224e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7943825e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8341743e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8344981e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7917905e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8341743e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8341743e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.60407e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1748.912e0" ] . a it6:Run ; feo:runId "b2b1e04895cd41779622f8a126876aba" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_dlrsd_scratch_UnetPlusPlus" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "77" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765824077744"^^ ; feo:endTime "1765835293591"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9679951e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5772569e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7119556e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7078321e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4600786e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5527415e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6148515e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7119556e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7193797e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.578171e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7119556e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7119556e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.68394e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "11215.85e0" ] . a it6:Run ; feo:runId "b5bf02ce75c64372bbc73c6b83be3562" ; it6:realizes "SegFormer" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_dlrsd_scratch_SegFormer" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "49" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765851006168"^^ ; feo:endTime "1765859398002"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9655753e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6315965e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6901777e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6897239e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4902549e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5269247e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6746278e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6901777e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6940302e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6180655e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6901777e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6901777e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.600203e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8391.834e0" ] . a it6:Run ; feo:runId "c63de7af5ceb41cb9fa14f2df73eb894" ; it6:realizes "Unet" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_dlrsd_scratch_Unet" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "99" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765810981216"^^ ; feo:endTime "1765824065913"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9673948e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6507361e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7065534e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7109423e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5168122e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5462563e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6940601e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7065534e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7235659e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6333981e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7065534e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7065534e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.83461e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "13084.7e0" ] . a it6:Run ; feo:runId "cb7b02089d5243d98d0f457057e81275" ; it6:realizes "FCN" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_dlrsd_pretrained_imagenet1K_FCN" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "40" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773226053871"^^ ; feo:endTime "1773227598219"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.981328e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7881331e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8319516e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8305585e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6844357e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7122578e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7925405e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8319516e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8319948e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7865907e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8319516e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8319516e0" ] ; feo:hasResourceEstimate [ feo:gflops "56.53738e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1544.348e0" ] . a it6:Run ; feo:runId "f4b811857ef54501b74de77a8191f1c4" ; it6:realizes "SegFormer" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_dlrsd_pretrained_imagenet1K_SegFormer" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "58" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773243164682"^^ ; feo:endTime "1773247138425"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9838709e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8084304e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8548378e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8546014e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.712975e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7464774e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.809486e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8548378e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.854792e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8078403e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8548378e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8548378e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.600203e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "3973.743e0" ] . a it6:Run ; feo:runId "f5a70c1af9794dfaa79382aa551f4e6e" ; it6:realizes "MANet" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_dlrsd_scratch_MANet" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1768215971249"^^ ; feo:endTime "1768223804766"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9696301e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6429125e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7266713e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7256852e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5068097e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.5706864e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6628549e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7266713e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.730195e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6334328e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7266713e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7266713e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.78814e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "7833.517e0" ] . a it6:Run ; feo:runId "f9f5acca032842aeab5d1a5268a2525d" ; it6:realizes "PSPNet" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_dlrsd_pretrained_imagenet1K_PSPNet" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "48" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773232110520"^^ ; feo:endTime "1773233922664"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9787219e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7557962e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8084969e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8083746e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6400589e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6785521e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7623172e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8084969e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8094013e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7518938e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8084969e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8084969e0" ] ; feo:hasResourceEstimate [ feo:gflops "3.025548e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1812.144e0" ] . a it6:Run ; feo:runId "fccdf61cc8bc46d88730e23214c6e362" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "dlrsd" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_dlrsd_scratch_DeepLabV3Plus" ; feo:experimentId "533686209890981830" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "63" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765446713984"^^ ; feo:endTime "1765449214154"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9629055e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5828801e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6661492e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6654316e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4441158e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.4994181e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6629382e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6661492e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6765807e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5550463e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6661492e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6661492e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.60407e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2500.17e0" ] . a it6:Run ; feo:runId "03400ba2416c4090924272778eae4eac" ; it6:realizes "FCOS" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_valid_object_detection_pretrained_imagenet1K_FCOS" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "43" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782418239184"^^ ; feo:endTime "1782439967679"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6666755e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.5893909e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.9177415e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.8622549e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5535304e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4479839e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5535304e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.5801398e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.5801398e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.543209e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2928821e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.9337646e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8859778e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4766276e0" ] ; feo:hasResourceEstimate [ feo:gflops "126.51e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "21728.49e0" ] . a it6:Run ; feo:runId "103ee1ffc3ba46668958abb4481099c4" ; it6:realizes "RetinaNet" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_valid_object_detection_pretrained_imagenet1K_RetinaNet" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "68" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782497128468"^^ ; feo:endTime "1782529384400"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.651421e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.5524883e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.9188191e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.8548654e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.519649e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4013547e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.519649e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.5628476e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.5628477e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5290621e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2867893e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.9431626e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8917568e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4551463e0" ] ; feo:hasResourceEstimate [ feo:gflops "136.0684e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "32255.93e0" ] . a it6:Run ; feo:runId "12696f51057843708f55fb211e5c23b9" ; it6:realizes "DETR" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_valid_object_detection_pretrained_imagenet1K_DETR" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "135" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782313742967"^^ ; feo:endTime "1782372456094"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.4653257e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.3073669e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.759004e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.5186824e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.298197e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1583928e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.298197e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3521587e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3521587e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3362637e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1901162e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7928658e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.5977479e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2131052e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.13636e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "58713.13e0" ] . a it6:Run ; feo:runId "1731cd5b629948278a7050b99c1f60c1" ; it6:realizes "DETR" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_valid_object_detection_scratch_DETR" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781181569937"^^ ; feo:endTime "1781189328353"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "6.024943E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "2.426713E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "3.950329E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "3.02084E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "3.02084E-5" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "2.610941E-5" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "2.610941E-5" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "2.610941E-5" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "2.610941E-5" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "5.890309E-5" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.13636e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "7758.416e0" ] . a it6:Run ; feo:runId "279248c5016f4e2a9e868622fd4c3003" ; it6:realizes "SSDLite" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_valid_object_detection_scratch_SSDLite" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "61" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781503624286"^^ ; feo:endTime "1781535190886"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.2290889e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.1218956e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.6584845e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1545772e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1256704e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.006218178e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1256704e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.1571348e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.1571348e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1500761e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.09864247e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.6984614e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2174389e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.02655403e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.5746108e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "31566.6e0" ] . a it6:Run ; feo:runId "3ac546a72b3347bfb106bbc4b6b4c412" ; it6:realizes "ATSS" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_valid_object_detection_scratch_ATSS" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "106" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781087332288"^^ ; feo:endTime "1781134418462"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5603255e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.4775207e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.797264e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.723251e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.4433577e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.3332152e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.4433577e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4692532e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4692532e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.4426083e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2475495e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.8234667e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.750026e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3649913e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.65112e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "47086.17e0" ] . a it6:Run ; feo:runId "3ef198a99f7c4bc8bcbed5eba77d650e" ; it6:realizes "RetinaNet" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_valid_object_detection_scratch_RetinaNet" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "92" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781342764997"^^ ; feo:endTime "1781385120118"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5814489e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.4665601e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.7886899e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.7055414e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.4309883e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.3099458e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.4309883e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4744504e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4744504e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.4475873e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2472816e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.8171111e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7473022e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3527813e0" ] ; feo:hasResourceEstimate [ feo:gflops "136.0684e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "42355.12e0" ] . a it6:Run ; feo:runId "4e28818272194189b379b681c0eef53c" ; it6:realizes "ATSS" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_valid_object_detection_pretrained_imagenet1K_ATSS" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "51" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782265009369"^^ ; feo:endTime "1782290270552"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5689763e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.4931733e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.9015914e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.7953064e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.4576082e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.3398418e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.4576083e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4824336e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4824336e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.4565078e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2574065e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.9174322e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8227343e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3674815e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.65112e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "25261.18e0" ] . a it6:Run ; feo:runId "51143bb247ca4f5783f7437af60f5bc2" ; it6:realizes "FasterRCNN" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_valid_object_detection_pretrained_imagenet1K_FasterRCNN" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "102" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782372491687"^^ ; feo:endTime "1782418204825"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6975622e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.6094983e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.9338659e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.8746103e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5693068e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4660977e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5693068e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.5980529e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.5980528e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5669865e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.303149e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.9461073e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8969936e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4942753e0" ] ; feo:hasResourceEstimate [ feo:gflops "280.5229e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "45713.14e0" ] . a it6:Run ; feo:runId "5c7aefad306f48c8a4663a6a37eaee99" ; it6:realizes "CenterNet" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_valid_object_detection_pretrained_imagenet1K_CenterNet" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "44" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782290305545"^^ ; feo:endTime "1782313709589"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.4056267e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.2484976e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.5652182e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.4452158e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2417307e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1171114e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2417307e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.281301e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.281301e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2667505e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1542205e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.5879454e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.4900566e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1559154e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.89157e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "23404.04e0" ] . a it6:Run ; feo:runId "6fee4274c6e9412cbc607a12c61978e4" ; it6:realizes "SSD" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_valid_object_detection_scratch_SSD" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "86" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781463959127"^^ ; feo:endTime "1781503591951"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5091169e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.3644925e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.7154782e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6219143e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3434511e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2397808e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3434511e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3981938e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3981938e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3767148e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2155791e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7474343e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.6583639e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2993035e0" ] ; feo:hasResourceEstimate [ feo:gflops "31.87242e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "39632.82e0" ] . a it6:Run ; feo:runId "ba0858e61b9f47fe8d045782ebe5d55d" ; it6:realizes "NanoDetPlus" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_valid_object_detection_scratch_NanoDetPlus" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "106" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781290706191"^^ ; feo:endTime "1781342732387"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.44585e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.2703435e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.5512724e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.4376134e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.263016e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1493859e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.263016e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2968894e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2968894e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2824624e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.168147e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.6104372e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.4961129e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1790093e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.59732e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "52026.2e0" ] . a it6:Run ; feo:runId "baf7f2206dce462897e4bd3b72af441c" ; it6:realizes "SSDLite" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_valid_object_detection_pretrained_imagenet1K_SSDLite" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "63" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782606498422"^^ ; feo:endTime "1782638746663"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.2575315e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.1586278e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.7544279e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.2472205e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1580253e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.01196013e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1580253e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.1956483e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.1956483e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1869332e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1180903e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7892259e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.3271162e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.03952425e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4844956e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "32248.24e0" ] . a it6:Run ; feo:runId "bb2497045cd340cc8e059d05f8d5c0c7" ; it6:realizes "SSD" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_valid_object_detection_pretrained_imagenet1K_SSD" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "87" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782566906616"^^ ; feo:endTime "1782606462846"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.512695e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.3939294e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.8329758e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6895531e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3727994e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2356539e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3727994e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4171231e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4171231e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3957106e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2286747e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.8570905e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7188067e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2884677e0" ] ; feo:hasResourceEstimate [ feo:gflops "31.87242e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "39556.23e0" ] . a it6:Run ; feo:runId "cd8c8282909048caaf2b9b382a548cb4" ; it6:realizes "FasterRCNN" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_valid_object_detection_scratch_FasterRCNN" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "146" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781189360894"^^ ; feo:endTime "1781253311787"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6533349e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.5608896e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.803023e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.7336814e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5111927e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4130284e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5111926e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.5383989e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.5383989e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5102105e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2755971e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.8252476e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7626725e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4390288e0" ] ; feo:hasResourceEstimate [ feo:gflops "233.4152e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "63950.89e0" ] . a it6:Run ; feo:runId "d2fa2006d75e44a29122f32e5cdf6fc9" ; it6:realizes "SparseRCNN" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_valid_object_detection_scratch_SparseRCNN" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781385153902"^^ ; feo:endTime "1781463919977"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.87538e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "78766.07e0" ] . a it6:Run ; feo:runId "eb42607fbd704533a1d0cf2011f1fdc8" ; it6:realizes "CenterNet" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_valid_object_detection_scratch_CenterNet" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "107" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781134453069"^^ ; feo:endTime "1781181534955"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.4157866e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.2784669e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.416319e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.4279014e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2601759e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1917298e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2601759e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3115258e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3115258e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2900655e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1572995e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.4386322e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.4633308e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.241935e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.89157e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "47081.89e0" ] . a it6:Run ; feo:runId "f18aee1716c447f48a864274bd3f019f" ; it6:realizes "SparseRCNN" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_valid_object_detection_pretrained_imagenet1K_SparseRCNN" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "82" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782529418423"^^ ; feo:endTime "1782566865344"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6299343e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.5063902e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.8607169e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.754198e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.4629928e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.3435203e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.4629928e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.5277452e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.5277452e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.4941912e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2608184e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.904337e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8137013e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.410699e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.87538e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "37446.92e0" ] . a it6:Run ; feo:runId "fb8b36c260a240309a253d2fc45e4d5e" ; it6:realizes "NanoDetPlus" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_valid_object_detection_pretrained_imagenet1K_NanoDetPlus" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "114" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782440000505"^^ ; feo:endTime "1782497096017"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.4371318e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.2787779e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.522998e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.4659447e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2654896e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1503584e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2654895e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3013728e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3013728e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2867306e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.172196e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.5626414e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.5328043e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1815371e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.59732e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "57095.51e0" ] . a it6:Run ; feo:runId "fd1bcfffe2684b7c89a493109905fb5b" ; it6:realizes "FCOS" ; feo:onDataset "valid_object_detection" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_valid_object_detection_scratch_FCOS" ; feo:experimentId "534049480783302782" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "81" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781253345414"^^ ; feo:endTime "1781290670415"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "19.41176e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6552173e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.5659953e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.8852705e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.8159172e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5276498e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4217304e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5276499e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.5578538e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.5578537e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5215138e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2804131e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.9021452e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.8487694e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4527894e0" ] ; feo:hasResourceEstimate [ feo:gflops "126.51e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "37325.0e0" ] . a it6:Run ; feo:runId "020a433797344a07869731c53004b7dd" ; it6:realizes "SSD" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_oirds_scratch_SSD" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781613401691"^^ ; feo:endTime "1781615707958"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.2029807e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.07170174e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1063814e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1019596e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0204514e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1019596e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.1499168e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.1499168e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1499168e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.116538e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1549702e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.03076923e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.62791e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2306.267e0" ] . a it6:Run ; feo:runId "0eacda08cbc14d29a2d8826e9bdc0f8e" ; it6:realizes "NanoDetPlus" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_oirds_pretrained_imagenet1K_NanoDetPlus" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "33" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782695424543"^^ ; feo:endTime "1782698154589"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.06182305e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.01349953e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.02538514e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.02403138e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.001980198e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.02403138e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.06948276e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.06948276e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.06948276e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.04724959e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.07365687e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.001923077e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.37894e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2730.046e0" ] . a it6:Run ; feo:runId "12ca58fcbc7d48e28d903cc67e6f6532" ; it6:realizes "SSD" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_oirds_pretrained_imagenet1K_SSD" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "31" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782702966667"^^ ; feo:endTime "1782705510669"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.2817359e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.2130108e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.180866e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1751939e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.02244224e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1751939e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2347094e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2347094e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2347094e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1804838e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2399078e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.02692308e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.62791e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2544.002e0" ] . a it6:Run ; feo:runId "2a112bca707243788522911840c2b769" ; it6:realizes "CenterNet" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_oirds_scratch_CenterNet" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781575868790"^^ ; feo:endTime "1781588310427"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86853e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "12441.64e0" ] . a it6:Run ; feo:runId "36ee8bbf089b40bfae3db4e246fbb442" ; it6:realizes "ATSS" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_oirds_scratch_ATSS" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "18" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781574056147"^^ ; feo:endTime "1781575852989"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.1309082e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.04821514e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.06827858e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.06533784e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.01386139e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.06533784e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.1191576e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.1191576e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1191576e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.090237e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1245481e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.01346154e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.37436e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1796.842e0" ] . a it6:Run ; feo:runId "38779e137902436d870d81c5d660bb80" ; it6:realizes "CenterNet" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_oirds_pretrained_imagenet1K_CenterNet" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782677577849"^^ ; feo:endTime "1782689982775"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86853e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "12404.93e0" ] . a it6:Run ; feo:runId "46180ce626344e20b1e64d78e030a973" ; it6:realizes "DETR" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_oirds_pretrained_imagenet1K_DETR" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "32" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782690001503"^^ ; feo:endTime "1782692663791"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.1325138e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.08990186e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.08517306e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.07891129e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.01892189e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.07891129e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.135162e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.135162e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.135162e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.08971374e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1384024e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.02692308e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.13252e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2662.288e0" ] . a it6:Run ; feo:runId "50540a4c36ce40a6a25b97901b578b37" ; it6:realizes "FCOS" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_oirds_pretrained_imagenet1K_FCOS" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "8" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782694247985"^^ ; feo:endTime "1782695409281"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3257685e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.3025965e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.2522065e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2424436e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.04456169e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2424436e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3725052e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3725052e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3725052e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.3023881e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.3965305e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.06346154e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.7415e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1161.296e0" ] . a it6:Run ; feo:runId "5502a62db83e48c8b3596af7c65b6442" ; it6:realizes "FasterRCNN" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_oirds_pretrained_imagenet1K_FasterRCNN" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "14" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782692679773"^^ ; feo:endTime "1782694232534"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3253554e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.3027814e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.2446118e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2349169e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1209423e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2349169e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3462419e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3462419e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3462419e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2907269e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.3555119e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2788461e0" ] ; feo:hasResourceEstimate [ feo:gflops "280.3949e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1552.761e0" ] . a it6:Run ; feo:runId "6f1d06ef9dfa4241b1874b3f86fa3091" ; it6:realizes "SSDLite" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_oirds_scratch_SSDLite" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "30" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781615723284"^^ ; feo:endTime "1781618299744"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.05632946e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "9.955344E-4" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.01512913e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.01360678e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.001084741e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.01360678e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.04870444e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.04870443e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.04832348e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0249688e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.05154242e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.009615385e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.5174524e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2576.46e0" ] . a it6:Run ; feo:runId "75a983abbeda4b0db0ccf0eb2a645570" ; it6:realizes "SSDLite" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_oirds_pretrained_imagenet1K_SSDLite" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "25" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782705526117"^^ ; feo:endTime "1782707800205"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.1208151e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.01725465e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.04615598e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.04325917e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.001982347e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.04325917e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.09260592e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.09260591e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.09127258e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.05902189e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.09807818e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.003846154e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4345372e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2274.088e0" ] . a it6:Run ; feo:runId "a1d22864832c4e4986bd97174e3b40eb" ; it6:realizes "FasterRCNN" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_oirds_scratch_FasterRCNN" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "48" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781600902713"^^ ; feo:endTime "1781604490180"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.1490911e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.1087008e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.09158791e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.08788627e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.01188119e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.08788627e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.1556065e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.1556065e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1556065e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1333525e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1623357e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.01153846e0" ] ; feo:hasResourceEstimate [ feo:gflops "233.4626e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "3587.467e0" ] . a it6:Run ; feo:runId "a2f0fc77c6b94965b3a38a1b23ec25a7" ; it6:realizes "FCOS" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_oirds_scratch_FCOS" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "38" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781604506282"^^ ; feo:endTime "1781607529644"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3117524e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.2255353e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.2037589e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.196926e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1042354e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.196926e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2836656e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2836656e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2836656e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2281817e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2927637e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1230769e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.7415e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "3023.362e0" ] . a it6:Run ; feo:runId "a57632ac2702422db6d2e1cb24f493a7" ; it6:realizes "RetinaNet" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_oirds_scratch_RetinaNet" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "25" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781609494991"^^ ; feo:endTime "1781611698765"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.1547481e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.07396174e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.08483955e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.08171504e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.007974311e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.08171505e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.1356574e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.1356574e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1356574e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1171598e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1421533e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.009615385e0" ] ; feo:hasResourceEstimate [ feo:gflops "129.1514e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2203.774e0" ] . a it6:Run ; feo:runId "b5ca24f4a1d6440290397e8156815ce3" ; it6:realizes "SparseRCNN" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_oirds_scratch_SparseRCNN" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781611714908"^^ ; feo:endTime "1781613384020"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "5.607729E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "5.607729E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.004106134e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "5.607728E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.002263083e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "5.607729E-5" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.05555556e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.05555556e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.06014493e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.03846154e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.86386e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1669.112e0" ] . a it6:Run ; feo:runId "b7da11e045614befbe13b30f01428a1c" ; it6:realizes "RetinaNet" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_oirds_pretrained_imagenet1K_RetinaNet" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782698169903"^^ ; feo:endTime "1782700610558"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.2718978e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.245718e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.2017892e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1937129e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.03621284e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1937129e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2871598e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2871598e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2871598e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2411565e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2910904e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.06538462e0" ] ; feo:hasResourceEstimate [ feo:gflops "129.1514e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2440.655e0" ] . a it6:Run ; feo:runId "bef7aa49322044b1b4123b840d09803a" ; it6:realizes "SparseRCNN" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_oirds_pretrained_imagenet1K_SparseRCNN" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "26" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782700627817"^^ ; feo:endTime "1782702947959"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3342656e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.2743201e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.2419527e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.232481e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.01943628e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.232481e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3313623e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3313623e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3313623e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2568971e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.3443275e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.06346154e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.86386e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2320.142e0" ] . a it6:Run ; feo:runId "cb0ab962b2cc49cda5537cb5d4d72ffc" ; it6:realizes "DETR" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_oirds_scratch_DETR" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781588329986"^^ ; feo:endTime "1781600885583"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "1.80018E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "1.80018E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "1.080108E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "1.080108E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "1.080108E-5" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "5.714286E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "5.714286E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "5.714286E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "5.714286E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "6.091371E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.13252e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "12555.6e0" ] . a it6:Run ; feo:runId "f5697aa25cd94ed9821b3b11eaa4a990" ; it6:realizes "ATSS" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_oirds_pretrained_imagenet1K_ATSS" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "25" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782675315285"^^ ; feo:endTime "1782677562130"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.2078051e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.1726477e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1482477e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1417111e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.03168317e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1417111e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2152041e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2152042e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2152042e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.185017e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2264261e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.03076923e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.37436e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2246.845e0" ] . a it6:Run ; feo:runId "f8dc9a8dea3a47cc9c75609d1c1eee95" ; it6:realizes "NanoDetPlus" ; feo:onDataset "oirds" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_oirds_scratch_NanoDetPlus" ; feo:experimentId "574562265479421378" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781607545257"^^ ; feo:endTime "1781609479046"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "3.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.03877072e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.003442981e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.01352347e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.01266335e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.01266335e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.04846798e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.04846798e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.04837274e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.03125944e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.05073782e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.37894e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1933.789e0" ] . a it6:Run ; feo:runId "05c6182734194e00b923240bafa690a8" ; it6:realizes "TinyCD" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_bandon_scratch_TinyCD" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "48" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785475517772"^^ ; feo:endTime "1785521073879"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9748795e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5810523e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9743235e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9709063e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5306268e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9499326e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6915976e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9647925e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.960131e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5553118e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9840447e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9840447e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "45556.11e0" ] . a it6:Run ; feo:runId "0eed9d78010641f4af1a497276bfca89" ; it6:realizes "TinyCD" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_bandon_pretrained_imagenet1K_TinyCD" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "99" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786249884265"^^ ; feo:endTime "1786328801226"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9748337e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6218386e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9742647e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.972377e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5567983e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9498208e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.666787e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9651781e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.962028e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5991671e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.983524e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.983524e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "78916.96e0" ] . a it6:Run ; feo:runId "20e05e1b8bb44d3893343d077e4ac51f" ; it6:realizes "STANet" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_bandon_scratch_STANet" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "11" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785458784980"^^ ; feo:endTime "1785475507658"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9708184e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5174502e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9702652e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9658276e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4921097e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9422476e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5722491e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9578592e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9504685e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5144192e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9829968e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9829968e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "16722.68e0" ] . a it6:Run ; feo:runId "20e5ebc8e68f44668085f99814bc9b89" ; it6:realizes "STANet" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_bandon_pretrained_imagenet1K_STANet" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "15" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786229974680"^^ ; feo:endTime "1786249874167"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9691848e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5292895e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9685725e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9653377e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4979329e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9390602e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5533237e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9570214e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9511886e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5245569e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9804059e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9804059e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "19899.49e0" ] . a it6:Run ; feo:runId "2222927c66b04221a0cfd0cc15c28dbc" ; it6:realizes "CGNet" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_bandon_scratch_CGNet" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "2" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785304098523"^^ ; feo:endTime "1785306607548"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9728303e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4890262e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.97239e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9666365e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4785237e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9462637e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4787594e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9574349e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9463426e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4997429e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9878198e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9878198e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2509.025e0" ] . a it6:Run ; feo:runId "4659cd7cc32e46ddaa4339686bfc735c" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_bandon_pretrained_imagenet1K_HRNetChangeDetection" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "32" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786158512949"^^ ; feo:endTime "1786191947924"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9725001e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6386101e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9719795e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9713519e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5672395e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9454865e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6433828e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9595245e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9583515e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6355612e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9847621e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9847621e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "33434.97e0" ] . a it6:Run ; feo:runId "4a7756237b2a43e6aed58120b56cfb51" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_bandon_pretrained_imagenet1K_UnetChangeDetection" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "23" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786328811482"^^ ; feo:endTime "1786354853186"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.976586e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6953504e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9761391e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9764146e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6113828e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9533903e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.679334e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9637779e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9643296e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7126098e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9888214e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9888214e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "26041.7e0" ] . a it6:Run ; feo:runId "63083fea4df64afdbe2dd882420e3594" ; it6:realizes "BIT" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_bandon_scratch_BIT" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "25" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785276361284"^^ ; feo:endTime "1785304087424"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9739923e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.531188e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9735312e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9689794e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5014876e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9484274e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6430227e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9599556e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9535876e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5230635e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9874962e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9874962e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "27726.14e0" ] . a it6:Run ; feo:runId "78dcd6f3316041f4a3e76a12d5f1e9b9" ; it6:realizes "BIT" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_bandon_pretrained_imagenet1K_BIT" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "18" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786076639900"^^ ; feo:endTime "1786098887798"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.972542e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4887511e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9718336e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9660927e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4779973e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9452104e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4828619e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9657238e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9544518e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4947858e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9780211e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9780211e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "22247.9e0" ] . a it6:Run ; feo:runId "7c172f0db4f74154aaa43143157b1d08" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_bandon_scratch_HRNetChangeDetection" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "50" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785368253151"^^ ; feo:endTime "1785416577976"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9729136e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5702969e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9723905e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9690623e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.523112e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9462646e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6490352e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9602817e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.955234e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5509782e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9848086e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9848086e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "48324.82e0" ] . a it6:Run ; feo:runId "9a802340ceca4c66adbaaf1b5ed34e1b" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_bandon_scratch_UnetChangeDetection" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785521083980"^^ ; feo:endTime "1785529130274"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9734534e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4989977e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9730202e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9674125e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4839508e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.947458e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8299019e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9581575e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9552032e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5048684e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9883512e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9883512e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8046.294e0" ] . a it6:Run ; feo:runId "a0257813d11f42eba236495e73a90ddc" ; it6:realizes "ChangeViT" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_bandon_pretrained_imagenet1K_ChangeViT" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "10" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786142515695"^^ ; feo:endTime "1786158502166"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.977257e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6597562e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9767814e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9753789e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5843842e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9546165e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6993716e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9660993e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9637753e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6365882e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9877023e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9877023e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "15986.47e0" ] . a it6:Run ; feo:runId "b55694f9fd0d472ba4782cbb7bea1187" ; it6:realizes "CGNet" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_bandon_pretrained_imagenet1K_CGNet" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786098898884"^^ ; feo:endTime "1786099870206"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9567016e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4804176e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9551812e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9496202e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4623113e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9142074e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4789142e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9577657e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9466486e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4819304e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9526105e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9526105e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "971.322e0" ] . a it6:Run ; feo:runId "bad386558ddf41eaa9490ee6a27f5492" ; it6:realizes "SiamCRNN" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_bandon_pretrained_imagenet1K_SiamCRNN" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "39" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786191958296"^^ ; feo:endTime "1786229964341"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9748633e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6759559e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9743663e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9746685e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5956692e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9500138e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6610995e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.962658e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9632621e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6919604e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9863628e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9863628e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "38006.04e0" ] . a it6:Run ; feo:runId "bc1cb6b374b94a0088c6d6f53452f1f5" ; it6:realizes "SiamCRNN" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_bandon_scratch_SiamCRNN" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "46" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785416588121"^^ ; feo:endTime "1785458773945"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9746704e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6131086e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9741687e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9722768e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5511371e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9496383e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6507169e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9624942e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9592825e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5945619e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9861299e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9861299e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "42185.82e0" ] . a it6:Run ; feo:runId "c1fbc445001c4d49b2da75194150b1ad" ; it6:realizes "ChangeFormerV6" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_bandon_scratch_ChangeFormerV6" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785306618577"^^ ; feo:endTime "1785326856108"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9740766e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6360899e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9735013e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9721981e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5660773e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9483708e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6628753e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9640342e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9617391e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6194313e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9831562e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9831562e0" ] ; feo:hasResourceEstimate [ feo:gflops "138.7708e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "20237.53e0" ] . a it6:Run ; feo:runId "cf70735e97cc4b6fb40566c4cb9454ab" ; it6:realizes "CSSM" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_bandon_scratch_CSSM" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "20" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785326866389"^^ ; feo:endTime "1785350737199"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9730349e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.489112e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9726059e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9668061e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4786882e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9466727e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4786882e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9573764e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9462017e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9883279e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9883279e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.776941e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "23870.81e0" ] . a it6:Run ; feo:runId "dcd7d77e288c4a0b856ec425948832eb" ; it6:realizes "ChangeViT" ; feo:onDataset "bandon" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_bandon_scratch_ChangeViT" ; feo:experimentId "597925609067587946" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "12" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785350747101"^^ ; feo:endTime "1785368242787"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9751135e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6182733e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9745864e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9724461e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5545437e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9504325e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6728645e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9641725e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9607304e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5938356e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9852277e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9852277e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "17495.69e0" ] . a it6:Run ; feo:runId "14ab9703a1994ec4b193d2350243aba8" ; it6:realizes "ConvNeXtTinyMultiLabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_pretrained_imagenet1K_ConvNeXtTinyMultiLabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "6" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782249225679"^^ ; feo:endTime "1782310189648"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.913142e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8759857e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.920559e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9186505e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8913115e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9201709e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9180438e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8656498e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9209474e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9209474e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.08685801e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9363261e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469676e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "60963.97e0" ] . a it6:Run ; feo:runId "1715a2c3f0e644d9b5f2c01b0d010694" ; it6:realizes "ResNet50MultiLabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_scratch_ResNet50MultiLabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "42" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781396067321"^^ ; feo:endTime "1781599669773"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9067223e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.862529e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9139612e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9107122e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8905123e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9214133e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9176931e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8435681e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9066287e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9066287e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.09327765e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9275069e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109483e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "203602.5e0" ] . a it6:Run ; feo:runId "1bb26116d8a047eea8422e02cffa2a3b" ; it6:realizes "VGG16MultiLabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_scratch_VGG16MultiLabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "26" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781614370831"^^ ; feo:endTime "1781753632297"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.907758e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8692218e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9152666e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9136069e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8830224e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9188865e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9164145e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8581328e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9116751e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9116751e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.09224204e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9289082e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46623e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "139261.5e0" ] . a it6:Run ; feo:runId "1e01fede1ca84d9290cc51e69cfa8a9a" ; it6:realizes "ResNet50MultiLabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_pretrained_imagenet1K_ResNet50MultiLabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782607206747"^^ ; feo:endTime "1782700405086"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9092355e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8706514e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.916359e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9145381e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8874689e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9229385e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9204812e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8575571e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9098725e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9098725e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.09076453e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9317704e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109483e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "93198.34e0" ] . a it6:Run ; feo:runId "3861e3f001d4435796fbe8185eaf86e6" ; it6:realizes "SwinTransformerMultilabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_pretrained_imagenet1K_SwinTransformerMultilabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782700422951"^^ ; feo:endTime "1782741682976"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8284243e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6795219e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8473636e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8174616e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.862065e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8244955e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8385991e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.724611e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8715364e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8715364e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1715757e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.8075713e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720903e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "41260.03e0" ] . a it6:Run ; feo:runId "38eee66a8ddf41af9634255ad989c6b9" ; it6:realizes "MLPMixerMultilabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_pretrained_imagenet1K_MLPMixerMultilabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "4" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782470265741"^^ ; feo:endTime "1782527134689"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9073966e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.861844e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9145425e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9108799e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8942009e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9224458e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9187702e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8413364e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9067735e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9067735e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.0926034e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9293405e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "56868.95e0" ] . a it6:Run ; feo:runId "59af68207082405cbbaaba4a85a31e39" ; it6:realizes "VGG16MultiLabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_pretrained_imagenet1K_VGG16MultiLabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "20" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782741703845"^^ ; feo:endTime "1782863894289"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9101064e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8706653e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9169916e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9148184e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8925453e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9255022e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9225502e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8534219e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9086361e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9086361e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.08989357e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.931594e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46623e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "122190.4e0" ] . a it6:Run ; feo:runId "6a0c6a37068443d8848078784aa32567" ; it6:realizes "ConvNeXtTinyMultiLabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_scratch_ConvNeXtTinyMultiLabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "27" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780798518465"^^ ; feo:endTime "1780893193779"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8986598e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8516138e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9071326e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9037626e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8743527e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9085212e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9048042e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8379979e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9057483e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9057483e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1013402e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9168385e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469676e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "94675.31e0" ] . a it6:Run ; feo:runId "79ae066182704683877fad429e9ff1df" ; it6:realizes "AlexNetMultiLabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_scratch_AlexNetMultiLabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "65" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780606832327"^^ ; feo:endTime "1780798494461"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8950812e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8466157e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9038418e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.90016e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8687207e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9053327e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9009309e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8335976e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9023558e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9023558e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1049188e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9118805e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101386e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "191662.1e0" ] . a it6:Run ; feo:runId "9023e9583c2245299841a6ee7ebe9dea" ; it6:realizes "AlexNetMultiLabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_pretrained_imagenet1K_AlexNetMultiLabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782147661816"^^ ; feo:endTime "1782249204146"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8991046e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8533676e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9074169e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9043739e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8739333e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9100237e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9062203e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8399645e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9048249e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9048249e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1008954e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9168798e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101386e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "101542.3e0" ] . a it6:Run ; feo:runId "993f0bb91a5940019a135b3ba440aa36" ; it6:realizes "SwinTransformerMultilabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_scratch_SwinTransformerMultilabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "11" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783446567513"^^ ; feo:endTime "1783489652295"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8195315e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6838489e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.839289e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8125062e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6969299e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8174256e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7822767e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7218315e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8623541e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8623541e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1804685e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.7815895e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720903e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "43084.78e0" ] . a it6:Run ; feo:runId "b27fb6c352ea47b98971b9e03b677d64" ; it6:realizes "VisionTransformerMultilabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_pretrained_imagenet1K_VisionTransformerMultilabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "8" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782863915274"^^ ; feo:endTime "1782903336752"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9085733e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8700174e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9160945e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.914106e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8860496e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9188478e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9161783e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8578642e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9133576e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9133576e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.09142667e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9313648e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "39421.48e0" ] . a it6:Run ; feo:runId "baedebc501414203ad9cf470edf6a028" ; it6:realizes "ResNet152MultiLabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_pretrained_imagenet1K_ResNet152MultiLabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782527153595"^^ ; feo:endTime "1782607187158"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9088278e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8636451e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9154953e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9120038e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9002374e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9275332e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9240091e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8387075e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9037658e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9037658e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.09117222e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.931337e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55681e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "80033.56e0" ] . a it6:Run ; feo:runId "bce557477b98414b8d20d8e4eebc56e4" ; it6:realizes "DenseNet161MultiLabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_scratch_DenseNet161MultiLabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780893215710"^^ ; feo:endTime "1780992965611"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9087016e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8680188e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9158529e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9133698e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8903408e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9225856e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.919363e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.851399e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9092178e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9092178e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.09129838e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9302704e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784655e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "99749.9e0" ] . a it6:Run ; feo:runId "bd68808f611f4c14b43c13885103081e" ; it6:realizes "VisionTransformerMultilabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_scratch_VisionTransformerMultilabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781753654988"^^ ; feo:endTime "1781877874254"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.889695e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8417154e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8996534e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8965631e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8553169e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8944973e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8908895e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8355567e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9048692e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9048692e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.110305e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9048722e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "124219.3e0" ] . a it6:Run ; feo:runId "c58d1f6f011b4995a600fa8c969e5c59" ; it6:realizes "ResNet152MultiLabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_scratch_ResNet152MultiLabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781241082069"^^ ; feo:endTime "1781396047999"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9071243e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.863394e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9140781e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9110465e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8925972e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.924316e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9206883e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8424839e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9040645e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9040645e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.09287567e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9283153e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55681e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "154965.9e0" ] . a it6:Run ; feo:runId "ca7b33f6cc0f4ff6bee70d77201bdb19" ; it6:realizes "MLPMixerMultilabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_scratch_MLPMixerMultilabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781160583280"^^ ; feo:endTime "1781241062674"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8840408e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8251067e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8945073e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.888511e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8484246e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8894006e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8832381e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8184625e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8996729e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8996729e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1159592e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.8945446e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "80479.39e0" ] . a it6:Run ; feo:runId "d589b0b77c94425286ff6e90f530fdac" ; it6:realizes "EfficientNetB0MultiLabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_scratch_EfficientNetB0MultiLabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "42" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780992987453"^^ ; feo:endTime "1781160565355"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9066753e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8633993e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9138372e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9110229e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8895575e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9221665e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9186415e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8444274e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.905657e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.905657e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.09332469e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9267125e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4003909e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "167577.9e0" ] . a it6:Run ; feo:runId "da5dbd2ac4444c2fa30c83162868a08c" ; it6:realizes "DenseNet161MultiLabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_pretrained_imagenet1K_DenseNet161MultiLabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "8" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782310209797"^^ ; feo:endTime "1782388256331"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9094037e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8702209e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9167699e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9148239e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8879132e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9204899e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9179273e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8569899e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9130798e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9130798e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.09059633e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9314931e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784655e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "78046.53e0" ] . a it6:Run ; feo:runId "ff0ba49fb32a476e96075cfd9bbaa0a0" ; it6:realizes "EfficientNetB0MultiLabel" ; feo:onDataset "ssl4eo_s12_ml" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_ssl4eo_s12_ml_pretrained_imagenet1K_EfficientNetB0MultiLabel" ; feo:experimentId "619934024753160831" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "10" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782388274881"^^ ; feo:endTime "1782470247236"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9111948e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8686291e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9177316e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9147648e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9014003e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9293072e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9260949e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8452945e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9064409e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9064409e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.08880521e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9331453e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4003909e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "81972.35e0" ] . a it6:Run ; feo:runId "0be3f76712c84f6788eb9d39fe2ca3c8" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_glh_water_pretrained_imagenet1K_UnetPlusPlus" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776392979189"^^ ; feo:endTime "1776446799954"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9526074e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9110698e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9524472e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9516706e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8422758e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9092116e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9225781e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9492392e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.94826e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9009081e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.955677e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.955677e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.53294e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "53820.76e0" ] . a it6:Run ; feo:runId "181e51be6bb04ea1a0c5c067d5bebdd0" ; it6:realizes "FCN" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_glh_water_scratch_FCN" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "4" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1775259976855"^^ ; feo:endTime "1775331913283"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9357361e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8849379e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9355189e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9363752e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8020228e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8788498e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8722109e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9323679e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9344325e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8987709e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9386913e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9386913e0" ] ; feo:hasResourceEstimate [ feo:gflops "54.09735e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "71936.43e0" ] . a it6:Run ; feo:runId "2d14ce750e1e4bf5846510ff2015043d" ; it6:realizes "UPerNet" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_glh_water_scratch_UPerNet" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "23" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1775926688840"^^ ; feo:endTime "1775995706019"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9162461e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8496876e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.915963e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9165601e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7516271e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8449556e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.841866e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9128779e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9141644e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8578587e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9190691e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9190691e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.19405e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "69017.18e0" ] . a it6:Run ; feo:runId "445b612085114d82bb329b7724643360" ; it6:realizes "Unet" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_glh_water_scratch_Unet" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1775735993387"^^ ; feo:endTime "1775847406230"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9252231e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8583495e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9249704e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9233052e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7643624e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8604139e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8732166e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9218549e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9194903e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8457921e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.928107e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.928107e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.68361e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "111412.8e0" ] . a it6:Run ; feo:runId "47efb8b10bf24ec28cb75ae742cd97bc" ; it6:realizes "PSPNet" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_glh_water_pretrained_imagenet1K_PSPNet" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776281170261"^^ ; feo:endTime "1776359620157"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9512221e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9071028e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9510573e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9497162e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8361138e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9066818e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9296035e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9478539e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9467766e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8885989e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9542824e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9542824e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.945856e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "78449.9e0" ] . a it6:Run ; feo:runId "52dff2389ac94bc5bed6db36023b5e5f" ; it6:realizes "HRNet" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_glh_water_pretrained_imagenet1K_HRNet" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "4" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776220530609"^^ ; feo:endTime "1776257786198"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9604745e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9254825e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9603409e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9594575e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8653862e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9237076e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9437035e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9571063e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9564459e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9099747e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9635975e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9635975e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.66421e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "37255.59e0" ] . a it6:Run ; feo:runId "66874f02c1434f208ce469dbc595e942" ; it6:realizes "SegFormer" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_glh_water_scratch_SegFormer" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776057390412"^^ ; feo:endTime "1776122721762"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9380408e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8810512e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9378314e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.935823e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7968238e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8829402e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9069139e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9346726e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9327819e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8605243e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9410116e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9410116e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.579231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "65331.35e0" ] . a it6:Run ; feo:runId "6effb524e4894824b9cc3e1fd015e8e2" ; it6:realizes "SegFormer" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_glh_water_pretrained_imagenet1K_SegFormer" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "7" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776545484150"^^ ; feo:endTime "1776579014307"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9669477e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9384725e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.966836e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9664033e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8869394e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9358011e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9476331e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9635795e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9631018e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9302018e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9701146e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9701146e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.579231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "33530.16e0" ] . a it6:Run ; feo:runId "7de06641385b492a8dd863219d5fef9e" ; it6:realizes "FPN" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_glh_water_pretrained_imagenet1K_FPN" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "14" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776497387488"^^ ; feo:endTime "1776545211377"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9470047e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.902842e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9468256e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9465875e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8292625e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8990208e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9035667e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9436365e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9432064e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9022016e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9500364e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9500364e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.830086e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "47823.89e0" ] . a it6:Run ; feo:runId "96c8892943944a76b3f9e877a8534925" ; it6:realizes "Unet" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_glh_water_pretrained_imagenet1K_Unet" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "6" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776359795452"^^ ; feo:endTime "1776392737942"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9533121e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9134267e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9531543e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9526276e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8459125e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9105013e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9203212e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9499439e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9491713e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.907155e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9563865e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9563865e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.68361e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "32942.49e0" ] . a it6:Run ; feo:runId "a0cdff133e1a4a01afdf82223e905233" ; it6:realizes "UPerNet" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_glh_water_pretrained_imagenet1K_UPerNet" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "10" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776447124309"^^ ; feo:endTime "1776497130921"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9569727e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9201759e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9568273e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9561806e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8566757e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.917228e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9309813e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9536045e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9528225e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9105634e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9600719e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9600719e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.19405e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "50006.61e0" ] . a it6:Run ; feo:runId "be74205929804122967eb61605e92812" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_glh_water_pretrained_imagenet1K_DeepLabV3Plus" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "5" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776129896977"^^ ; feo:endTime "1776166809384"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9608287e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9269253e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9606964e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9601361e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8677225e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9243654e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.936975e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9574605e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9567941e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9179273e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9639541e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9639541e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.5831e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "36912.41e0" ] . a it6:Run ; feo:runId "c57c89ec8d3e4c3e9de9e812e857c9ba" ; it6:realizes "MANet" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_glh_water_scratch_MANet" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1775395048457"^^ ; feo:endTime "1775627648133"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8355327e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4541975e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8349768e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7610608e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4160822e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7167041e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4160822e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8321645e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6971943e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8378083e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8378083e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.63715e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "232599.7e0" ] . a it6:Run ; feo:runId "c5cc6cc9e63c413e9c2c2c68b5c71195" ; it6:realizes "HRNet" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_glh_water_scratch_HRNet" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "14" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1775332328274"^^ ; feo:endTime "1775394637459"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9263514e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8606886e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9261025e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9244902e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7675902e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8623751e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.87537e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9229832e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9206999e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8482563e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9292429e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9292429e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.66421e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "62309.18e0" ] . a it6:Run ; feo:runId "d52f8afdf8084ec69e084075e5c895c8" ; it6:realizes "PSPNet" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_glh_water_scratch_PSPNet" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "22" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1775628076350"^^ ; feo:endTime "1775735578921"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9265114e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8625144e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.926263e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9251458e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7700203e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8626536e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8715453e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9231432e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9213715e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.854537e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.929404e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.929404e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.945856e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "107502.6e0" ] . a it6:Run ; feo:runId "d6e95d371555419c92c391f45c38a7a9" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_glh_water_scratch_UnetPlusPlus" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "32" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1775847864270"^^ ; feo:endTime "1775926224190"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9309683e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8717397e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.930735e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9299362e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7830334e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8704438e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8779964e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9276001e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9262791e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8660878e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9338912e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9338912e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.53294e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "78359.92e0" ] . a it6:Run ; feo:runId "ddcf6f372b7d4fa1ba9777f5ac51e34e" ; it6:realizes "FPN" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_glh_water_scratch_FPN" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "19" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1775996141736"^^ ; feo:endTime "1776056925531"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9290699e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8649801e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9288302e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9270307e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7736971e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8671176e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8829319e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9257017e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9233645e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8500985e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9319799e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9319799e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.830086e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "60783.79e0" ] . a it6:Run ; feo:runId "e24e924b2b394c94ba53610a058a96a2" ; it6:realizes "FCN" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_glh_water_pretrained_imagenet1K_FCN" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "11" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776167216829"^^ ; feo:endTime "1776220114910"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.944702e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8977155e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9445151e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9441305e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8214892e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8948637e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9004374e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9413338e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9406694e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8952024e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.947718e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.947718e0" ] ; feo:hasResourceEstimate [ feo:gflops "56.5248e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "52898.08e0" ] . a it6:Run ; feo:runId "eeef38d82d7041d7b7643a200e82f373" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_glh_water_scratch_DeepLabV3Plus" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "14" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1775137587055"^^ ; feo:endTime "1775259553793"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9283571e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8666613e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9281149e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9271985e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7757974e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8658717e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8738278e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9249889e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9234903e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8602368e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9312622e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9312622e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.5831e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "121966.7e0" ] . a it6:Run ; feo:runId "ff717dcfc8694e468ce31ec29a0640b4" ; it6:realizes "MANet" ; feo:onDataset "glh_water" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_glh_water_pretrained_imagenet1K_MANet" ; feo:experimentId "621488021654675592" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "4" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1776258077477"^^ ; feo:endTime "1776281023491"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9538902e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9128716e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9537344e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9525946e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.845106e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9115605e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9330374e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.950522e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9495761e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8960002e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9569686e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9569686e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.63715e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "22946.01e0" ] . a it6:Run ; feo:runId "10064d5dbbe84620a7995cc67f0906da" ; it6:realizes "AlexNet" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_brazildam_pretrained_imagenet1K_AlexNet" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "46" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770815473608"^^ ; feo:endTime "1770867073840"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9874278e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9870541e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9874278e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9874196e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9741086e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9877061e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9874278e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9874398e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9864322e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9874278e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9874278e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101099e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "51600.23e0" ] . a it6:Run ; feo:runId "19bab7b30eeb462bba7689ae0a6c4fca" ; it6:realizes "AlexNet" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_brazildam_scratch_AlexNet" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "72" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765463052338"^^ ; feo:endTime "1765587335732"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9653415e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9642814e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9653415e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9653039e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9285656e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9653292e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9653415e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9653406e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9633124e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9653415e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9653415e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101099e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "124283.4e0" ] . a it6:Run ; feo:runId "288757819ede432b841e97929226cbef" ; it6:realizes "ResNet152" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_brazildam_pretrained_imagenet1K_ResNet152" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "44" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770990445942"^^ ; feo:endTime "1771024593418"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9894665e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9891535e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9894665e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9894596e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9783072e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9898083e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9894665e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9894812e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9885288e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9894665e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9894665e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55679e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "34147.48e0" ] . a it6:Run ; feo:runId "313180e7307b4f7d8dcacd8cb09f615b" ; it6:realizes "VGG16" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_brazildam_pretrained_imagenet1K_VGG16" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "33" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771091232293"^^ ; feo:endTime "1771116364127"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9874278e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9870386e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9874278e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9874118e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9740785e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9883355e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9874278e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9874996e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9858516e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9874278e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9874278e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.4662e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "25131.83e0" ] . a it6:Run ; feo:runId "353f154153d7435db1428e14a80ce24e" ; it6:realizes "SwinTransformer" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_brazildam_scratch_SwinTransformer" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "87" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1766017687790"^^ ; feo:endTime "1766103173876"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9473327e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9456354e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9473327e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9472315e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8912833e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9474632e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9473327e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9473473e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9440374e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9473327e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9473327e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720898e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "85486.09e0" ] . a it6:Run ; feo:runId "49533a4fbabe4fdd813d379fbdcf2a04" ; it6:realizes "VisionTransformer" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_brazildam_pretrained_imagenet1K_VisionTransformer" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771116379237"^^ ; feo:endTime "1771131795705"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9908257e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9905485e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9908257e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9908174e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9810975e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9914589e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9908257e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9908623e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9896943e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9908257e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9908257e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "15416.47e0" ] . a it6:Run ; feo:runId "7331c9347ff2460d8f6b31586dd42ff5" ; it6:realizes "ResNet50" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_brazildam_pretrained_imagenet1K_ResNet50" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "44" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771024605318"^^ ; feo:endTime "1771059765370"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9891267e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9888049e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9891267e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9891203e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9776101e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9893973e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9891267e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9891374e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9882374e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9891267e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9891267e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109469e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "35160.05e0" ] . a it6:Run ; feo:runId "8dcdbd9a203d42f39318df055fa2b513" ; it6:realizes "EfficientNetB0" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_brazildam_scratch_EfficientNetB0" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "97" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765527019617"^^ ; feo:endTime "1765589512518"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7844156e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7648708e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7844156e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7784289e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5337079e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7875393e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7844156e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7858805e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7570346e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7844156e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7844156e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.400382e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "62492.9e0" ] . a it6:Run ; feo:runId "9413bfcf4776464383645707bc7557c5" ; it6:realizes "ResNet152" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_brazildam_scratch_ResNet152" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "82" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765848258604"^^ ; feo:endTime "1765946500527"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9412164e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9395404e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9412164e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.941213e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8790809e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9395917e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9412164e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9412098e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9394894e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9412164e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9412164e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55679e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "98241.92e0" ] . a it6:Run ; feo:runId "952b2c4c47a5405f8c12d41fe46d1043" ; it6:realizes "VGG16" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_brazildam_scratch_VGG16" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "75" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1766103186498"^^ ; feo:endTime "1766210916902"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9782535e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9775775e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9782535e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9782244e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9551576e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9789158e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9782535e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9783082e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9763587e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9782535e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9782535e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.4662e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "107730.4e0" ] . a it6:Run ; feo:runId "99cd219ca99f496c83986ad0d27a78ab" ; it6:realizes "ResNet50" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_brazildam_scratch_ResNet50" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "80" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765946513190"^^ ; feo:endTime "1766017675564"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9252463e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9228849e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9252463e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9251271e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8457823e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9243127e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9252463e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9251566e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9216143e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9252463e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9252463e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109469e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "71162.37e0" ] . a it6:Run ; feo:runId "9aa889d21fe2432383f848b0913512c4" ; it6:realizes "MLPMixer" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_brazildam_pretrained_imagenet1K_MLPMixer" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770970767557"^^ ; feo:endTime "1770990434057"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9894665e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9891509e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9894665e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9894584e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9783022e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9899312e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9894665e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.98949e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9884127e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9894665e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9894665e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "19666.5e0" ] . a it6:Run ; feo:runId "a95c75e2a62b4a0a914da6e4a71ecd93" ; it6:realizes "DenseNet161" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_brazildam_pretrained_imagenet1K_DenseNet161" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "55" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770894134057"^^ ; feo:endTime "1770941196259"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9908257e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.990553e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9908257e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9908197e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9811063e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9912097e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9908257e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9908422e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9899265e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9908257e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9908257e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.78464e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "47062.2e0" ] . a it6:Run ; feo:runId "c29fb8aef46f4e5d95446095c3015dd4" ; it6:realizes "VisionTransformer" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_brazildam_scratch_VisionTransformer" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "54" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1766210932861"^^ ; feo:endTime "1766286394737"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9367992e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9348974e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9367992e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9367463e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8697979e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.935649e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9367992e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9367369e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9341919e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9367992e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9367992e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "75461.88e0" ] . a it6:Run ; feo:runId "cf6401e9205a4625a7ef96a1c4eb8c1b" ; it6:realizes "EfficientNetB0" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_brazildam_pretrained_imagenet1K_EfficientNetB0" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "34" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770941206997"^^ ; feo:endTime "1770970755825"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9857288e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9853029e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9857288e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9857186e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9706064e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9860147e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9857288e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9857422e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9846269e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9857288e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9857288e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.400382e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "29548.83e0" ] . a it6:Run ; feo:runId "d22f4d995f344379b06a5027c952d35d" ; it6:realizes "DenseNet161" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_brazildam_scratch_DenseNet161" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "89" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765463411832"^^ ; feo:endTime "1765527018615"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9396104e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9370771e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9396104e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9396022e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8741543e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9371962e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9396104e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9395948e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9369589e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9396104e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9396104e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.78464e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "63606.78e0" ] . a it6:Run ; feo:runId "d33e8c2cde1b4ae1a4cc26af184beabb" ; it6:realizes "MLPMixer" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_brazildam_scratch_MLPMixer" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "4" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765829021061"^^ ; feo:endTime "1765848246961"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.5830785e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3683194e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5830785e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.4295182e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2915392e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5830785e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.3399805e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5830785e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5830785e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "19225.9e0" ] . a it6:Run ; feo:runId "f05c9b53370242c6be28b699fd651e9b" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_brazildam_pretrained_imagenet1K_ConvNeXtTiny" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "36" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770867085868"^^ ; feo:endTime "1770894122814"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9891267e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9887996e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9891267e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9891176e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9775996e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9896428e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9891267e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9891547e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9880052e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9891267e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9891267e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469671e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "27036.95e0" ] . a it6:Run ; feo:runId "f88b690805ec4333b532d3eda10c1e53" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_brazildam_scratch_ConvNeXtTiny" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "10" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765802823264"^^ ; feo:endTime "1765829010171"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.5830785e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3683194e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5830785e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.4295182e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2915392e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5830785e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.3399805e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5830785e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5830785e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469671e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "26186.91e0" ] . a it6:Run ; feo:runId "fe0f309e4e8841fd84825f96fb07bd12" ; it6:realizes "SwinTransformer" ; feo:onDataset "brazildam" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_brazildam_pretrained_imagenet1K_SwinTransformer" ; feo:experimentId "642026676648085252" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "38" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771059777571"^^ ; feo:endTime "1771091220251"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.993544e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9933553e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.993544e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9935413e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9867106e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9937685e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.993544e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9935503e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9929543e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.993544e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.993544e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720898e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "31442.68e0" ] . a it6:Run ; feo:runId "0214ebc0c10245a088b70aee082d5ba4" ; it6:realizes "SwinTransformer" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_rsc11_scratch_SwinTransformer" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "45" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769722538211"^^ ; feo:endTime "1769723745192"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7975709e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8017043e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7975709e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7948669e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7766485e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.801187e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7975709e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7979028e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8077227e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7975709e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7975709e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720905e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1206.981e0" ] . a it6:Run ; feo:runId "0ba1aac003f84eecb4e098c41f85bfd0" ; it6:realizes "VGG16" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_rsc11_scratch_VGG16" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "90" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769723771668"^^ ; feo:endTime "1769725560596"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7489879e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7572421e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7489879e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7457016e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7222857e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.764058e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7489879e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.747474e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7554425e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7489879e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7489879e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46624e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1788.928e0" ] . a it6:Run ; feo:runId "414b6489aede46c090ba0497b60b1501" ; it6:realizes "VisionTransformer" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_rsc11_pretrained_imagenet1K_VisionTransformer" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "18" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772917117226"^^ ; feo:endTime "1772917561587"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9473684e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9505615e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9473684e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9477163e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9419013e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9497585e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9473684e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9493901e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9526026e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9473684e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9473684e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "444.361e0" ] . a it6:Run ; feo:runId "50c15c5771684f7ea21184c4e1d64b5b" ; it6:realizes "AlexNet" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_rsc11_scratch_AlexNet" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "90" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769711502364"^^ ; feo:endTime "1769713341415"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.6518219e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6477319e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6518219e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6458556e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.6162102e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6508864e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6518219e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6545014e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6569358e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6518219e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6518219e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101468e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1839.051e0" ] . a it6:Run ; feo:runId "56bbdbd210dd490b8e6e469c1ffb6f92" ; it6:realizes "ResNet152" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_rsc11_scratch_ResNet152" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769718772600"^^ ; feo:endTime "1769720699117"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.5182186e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4619449e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5182186e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.475022e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.4631808e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4667832e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5182186e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4715814e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4914956e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5182186e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5182186e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55681e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1926.517e0" ] . a it6:Run ; feo:runId "5c6f48a1fcd84a8498138d17d83028e8" ; it6:realizes "DenseNet161" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_rsc11_scratch_DenseNet161" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "51" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769715237283"^^ ; feo:endTime "1769716423031"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8744939e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8811461e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8744939e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8748833e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8613616e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8900864e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8744939e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8833896e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8793634e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8744939e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8744939e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.78466e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1185.748e0" ] . a it6:Run ; feo:runId "683c2a2c0c6e4a8fbb6fb2da443715b2" ; it6:realizes "ResNet50" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_rsc11_scratch_ResNet50" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769720725134"^^ ; feo:endTime "1769722508871"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.6234818e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5991893e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6234818e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5975936e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5829672e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5927392e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.6234818e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.587197e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6216813e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6234818e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6234818e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109487e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1783.737e0" ] . a it6:Run ; feo:runId "6f961fc3837345c7976beda237384ade" ; it6:realizes "VisionTransformer" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_rsc11_scratch_VisionTransformer" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769725591553"^^ ; feo:endTime "1769727722720"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8137652e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8143458e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8137652e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8111307e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7944497e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8136101e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8137652e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8131037e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8201177e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8137652e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8137652e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "2131.167e0" ] . a it6:Run ; feo:runId "809b35f66fe54a289cd6aaac477ff429" ; it6:realizes "MLPMixer" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_rsc11_scratch_MLPMixer" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "96" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769716693508"^^ ; feo:endTime "1769718742102"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7246964e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7273286e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7246964e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7186642e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.6957908e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7258723e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7246964e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7162379e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7326492e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7246964e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7246964e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "2048.594e0" ] . a it6:Run ; feo:runId "8a84d1274baa4e22b3257824e463b17f" ; it6:realizes "EfficientNetB0" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_rsc11_scratch_EfficientNetB0" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769716452930"^^ ; feo:endTime "1769716668033"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.1052632e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.01731602e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.1052632e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.02005013e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.009569378e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.1052632e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.01108033e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.09090909e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.1052632e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.1052632e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4003935e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "215.103e0" ] . a it6:Run ; feo:runId "993059dcfbd24701999355302488f6b1" ; it6:realizes "MLPMixer" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_rsc11_pretrained_imagenet1K_MLPMixer" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "18" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772914449870"^^ ; feo:endTime "1772914817621"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9635628e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9671677e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9635628e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9636516e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9597669e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9667848e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9635628e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9646381e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9683919e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9635628e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9635628e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "367.751e0" ] . a it6:Run ; feo:runId "a2d582767d434f32825342d27392303e" ; it6:realizes "EfficientNetB0" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_rsc11_pretrained_imagenet1K_EfficientNetB0" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "75" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772913532279"^^ ; feo:endTime "1772914419649"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9595142e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9623336e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9595142e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9599332e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9553151e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9626004e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9595142e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.962963e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9643635e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9595142e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9595142e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4003935e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "887.37e0" ] . a it6:Run ; feo:runId "a84fb0f4333549019c4d1302b9f7dc4f" ; it6:realizes "ResNet50" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_rsc11_pretrained_imagenet1K_ResNet50" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "40" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772915561277"^^ ; feo:endTime "1772916113686"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9635628e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9672703e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9635628e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9633869e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.959764e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9663013e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9635628e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.963546e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9685887e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9635628e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9635628e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109487e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "552.409e0" ] . a it6:Run ; feo:runId "ad0bfe6aac4f44bea13b1126853e8dcb" ; it6:realizes "DenseNet161" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_rsc11_pretrained_imagenet1K_DenseNet161" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "45" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772912873544"^^ ; feo:endTime "1772913504217"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9635628e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9684146e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9635628e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9638283e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9597538e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.968963e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9635628e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9642669e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9680476e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9635628e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9635628e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.78466e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "630.673e0" ] . a it6:Run ; feo:runId "b92980b18277487c91b4f53d61f0d628" ; it6:realizes "ResNet152" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_rsc11_pretrained_imagenet1K_ResNet152" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "48" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772914851501"^^ ; feo:endTime "1772915530632"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9635628e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9685281e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9635628e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.96345e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9597785e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9686506e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9635628e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9656394e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.970447e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9635628e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9635628e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55681e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "679.131e0" ] . a it6:Run ; feo:runId "cde86f3ba9884118aaba9dbf19255bb7" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_rsc11_pretrained_imagenet1K_ConvNeXtTiny" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "48" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772912199014"^^ ; feo:endTime "1772912846198"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9595142e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9619113e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9595142e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9596143e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9552852e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9628448e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9595142e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9604167e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9617674e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9595142e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9595142e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469678e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "647.184e0" ] . a it6:Run ; feo:runId "d27c696d8ece40229434521256076c26" ; it6:realizes "VGG16" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_rsc11_pretrained_imagenet1K_VGG16" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772916685220"^^ ; feo:endTime "1772917084344"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9352227e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9390438e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9352227e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9350036e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.928543e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9368872e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9352227e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9382966e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.944704e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9352227e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9352227e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46624e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "399.124e0" ] . a it6:Run ; feo:runId "e1b67044410f40459b26e7cc896a8863" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_rsc11_scratch_ConvNeXtTiny" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "86" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1769713368678"^^ ; feo:endTime "1769715212285"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.562753e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5594131e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.562753e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5441884e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5174123e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5609954e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.562753e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5474543e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5819361e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.562753e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.562753e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469678e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1843.607e0" ] . a it6:Run ; feo:runId "e3a8920f15fb4f68872ef8ebf401ff39" ; it6:realizes "SwinTransformer" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_rsc11_pretrained_imagenet1K_SwinTransformer" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "25" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772916143965"^^ ; feo:endTime "1772916658890"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9716599e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9738443e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9716599e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9716609e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9687098e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9728432e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9716599e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9722948e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9754567e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9716599e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9716599e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720905e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "514.925e0" ] . a it6:Run ; feo:runId "e768470284f743bfaaf5e31291534990" ; it6:realizes "AlexNet" ; feo:onDataset "rsc11" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_rsc11_pretrained_imagenet1K_AlexNet" ; feo:experimentId "648431950560002736" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772911713514"^^ ; feo:endTime "1772912165189"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9109312e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9166173e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9109312e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9123171e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9016666e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9276576e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9109312e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9224723e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9145079e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9109312e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9109312e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101468e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "451.675e0" ] . a it6:Run ; feo:runId "04653d746873406491b6b696a146917f" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_satellite_buildings_scratch_DeepLabV3Plus" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765080931927"^^ ; feo:endTime "1765135389900"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9816812e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9713312e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9816806e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9816352e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9448058e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9640203e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9736558e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9816467e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9815769e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9690506e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9817144e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9817144e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.5831e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "54457.97e0" ] . a it6:Run ; feo:runId "2332746f21b846b292f93a75cfad74eb" ; it6:realizes "MANet" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_satellite_buildings_pretrained_imagenet1K_MANet" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "55" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773039528071"^^ ; feo:endTime "1773056850017"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9822987e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9723814e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9822981e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.982282e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9467524e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9652121e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9732116e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9822643e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9822349e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9715571e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.982332e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.982332e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.63715e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "17321.95e0" ] . a it6:Run ; feo:runId "283b477e629b481288e7b0933d795aac" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_satellite_buildings_scratch_UnetPlusPlus" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "98" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765278240740"^^ ; feo:endTime "1765314250598"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9822967e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9724348e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9822961e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9823008e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9468502e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9652082e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.972152e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9822623e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9822719e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9727182e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.98233e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.98233e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.53294e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "36009.86e0" ] . a it6:Run ; feo:runId "29d577d3f842404d8753c6a0b4afedb8" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_satellite_buildings_pretrained_imagenet1K_UnetPlusPlus" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773097846206"^^ ; feo:endTime "1773123976791"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9031314e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8515701e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9031281e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9038916e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7516704e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.823367e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8461815e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.903097e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9048078e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8573333e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9031592e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9031592e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.53294e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "26130.58e0" ] . a it6:Run ; feo:runId "31d72deda6874ed1b832185afa585430" ; it6:realizes "FPN" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_satellite_buildings_scratch_FPN" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "96" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765354879675"^^ ; feo:endTime "1765398515249"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9788821e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.967018e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9788813e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.978851e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9368526e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9586362e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9683355e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9788476e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9787939e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9657152e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9789151e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9789151e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.830086e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "43635.57e0" ] . a it6:Run ; feo:runId "438e011aeb49424180ce8df8b72ac8f1" ; it6:realizes "FPN" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_satellite_buildings_pretrained_imagenet1K_FPN" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773163622960"^^ ; feo:endTime "1773187981625"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9860099e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9782203e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9860094e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9860113e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9576872e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9724049e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9780574e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9859754e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9859793e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9783833e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9860434e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9860434e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.830086e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "24358.67e0" ] . a it6:Run ; feo:runId "5862ec42e8b4462ab3e05d4c06a998ca" ; it6:realizes "PSPNet" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_satellite_buildings_scratch_PSPNet" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "98" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765211106894"^^ ; feo:endTime "1765248610309"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9519334e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9245413e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9519318e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9517361e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8630011e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9082727e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9280195e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.951899e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9515603e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9211725e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9519646e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9519646e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.945856e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "37503.42e0" ] . a it6:Run ; feo:runId "58e61754b73f4d359bee519832937983" ; it6:realizes "SegFormer" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_satellite_buildings_scratch_SegFormer" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "98" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1766307760227"^^ ; feo:endTime "1766405661366"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9855879e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9775338e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9855874e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9855822e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9563937e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9715844e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9778427e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9855535e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9855436e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9772258e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9856214e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9856214e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.579231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "97901.14e0" ] . a it6:Run ; feo:runId "65a466a3df4d4e35b5f0531ebacbbaa2" ; it6:realizes "UPerNet" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_satellite_buildings_pretrained_imagenet1K_UPerNet" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773123989529"^^ ; feo:endTime "1773163610957"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9874833e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9804706e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9874829e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9874699e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9619478e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9752753e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9814408e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9874489e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9874266e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9795081e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9875169e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9875169e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.19405e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "39621.43e0" ] . a it6:Run ; feo:runId "6a1a7a298c814e3eb7115de5ab86d4bb" ; it6:realizes "Unet" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_satellite_buildings_pretrained_imagenet1K_Unet" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773089671829"^^ ; feo:endTime "1773097835011"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9621301e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9407579e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9621288e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9620378e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8902748e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9270214e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9428637e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9620957e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9619326e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9386914e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.962162e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.962162e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.68361e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "8163.182e0" ] . a it6:Run ; feo:runId "971cd33a00194d02be6d387e7042c7b6" ; it6:realizes "PSPNet" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_satellite_buildings_pretrained_imagenet1K_PSPNet" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773056867927"^^ ; feo:endTime "1773089659595"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.977711e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9651221e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9777102e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9776564e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9333879e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9563925e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9673556e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9776765e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9775886e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.96293e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9777439e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9777439e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.945856e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "32791.67e0" ] . a it6:Run ; feo:runId "c8ee7229e0134842a19d8a4eb2162891" ; it6:realizes "UPerNet" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_satellite_buildings_scratch_UPerNet" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "97" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765314252689"^^ ; feo:endTime "1765354878109"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9801815e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9691233e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9801808e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9801759e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9407199e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9611319e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9693186e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.980147e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9801375e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9689285e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9802145e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9802145e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.19405e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "40625.42e0" ] . a it6:Run ; feo:runId "cbfcdac291714c7eb2f860fc7f2a3a90" ; it6:realizes "HRNet" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_satellite_buildings_pretrained_imagenet1K_HRNet" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773016603028"^^ ; feo:endTime "1773039513854"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.992875e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9889158e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9928748e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9928772e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9781596e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9858504e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9885531e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9928406e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9928457e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9892795e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.992909e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.992909e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.66421e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "22910.83e0" ] . a it6:Run ; feo:runId "d073dd3c65bd4ca19c69da2f671fbcd1" ; it6:realizes "FCN" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_satellite_buildings_pretrained_imagenet1K_FCN" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "24" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773008866181"^^ ; feo:endTime "1773016590041"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9846406e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9760906e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9846401e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9846428e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9536787e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9697448e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.97589e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9846061e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9846116e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9762914e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.984674e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.984674e0" ] ; feo:hasResourceEstimate [ feo:gflops "56.5248e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "7723.86e0" ] . a it6:Run ; feo:runId "d10dead10e654e0ba33d780fb94451b1" ; it6:realizes "HRNet" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_satellite_buildings_scratch_HRNet" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "98" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765160968718"^^ ; feo:endTime "1765211103770"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9837649e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9746581e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9837643e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9837449e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9509972e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9680474e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9757662e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9837304e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9836965e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9735603e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9837982e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9837982e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.66421e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "50135.05e0" ] . a it6:Run ; feo:runId "db2c24d53aad43008f3c8f44d1aff4c8" ; it6:realizes "MANet" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_satellite_buildings_scratch_MANet" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "99" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1768143269473"^^ ; feo:endTime "1768208572047"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9766177e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9635465e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9766169e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9766023e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9305135e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9543024e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9640964e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9765833e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9765553e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9629994e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9766506e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9766506e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.63715e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "65302.57e0" ] . a it6:Run ; feo:runId "de7e6c375f5045988e5c1b2b53aae7da" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_satellite_buildings_pretrained_imagenet1K_DeepLabV3Plus" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772986071475"^^ ; feo:endTime "1773008853516"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9840756e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9751439e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9840751e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9840585e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9519062e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9686494e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9760991e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9840412e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9840118e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9741963e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.984109e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.984109e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.5831e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "22782.04e0" ] . a it6:Run ; feo:runId "eedf81b1c17c4b8d9b98010041279a43" ; it6:realizes "Unet" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_satellite_buildings_scratch_Unet" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "86" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765248610983"^^ ; feo:endTime "1765278238967"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9783604e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9662988e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9783596e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9783586e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9355314e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.957636e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9663106e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9783259e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9783238e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9662871e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9783933e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9783933e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.68361e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "29627.98e0" ] . a it6:Run ; feo:runId "faa3c4b2e68c41f29c032df0f9fabeb1" ; it6:realizes "SegFormer" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_satellite_buildings_pretrained_imagenet1K_SegFormer" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1773187993913"^^ ; feo:endTime "1773210640580"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9858333e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9779417e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9858328e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9858344e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9571618e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9720614e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9777978e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9857988e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9858021e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9780858e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9858668e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9858668e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.579231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "22646.67e0" ] . a it6:Run ; feo:runId "fef8a7c39f1444a185c78262ddadc87b" ; it6:realizes "FCN" ; feo:onDataset "satellite_buildings" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_satellite_buildings_scratch_FCN" ; feo:experimentId "652115942049923473" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "38" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765135392197"^^ ; feo:endTime "1765160966874"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9863786e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9787101e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9863781e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9863526e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.9586144e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9731223e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.980482e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9863441e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9863052e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9769635e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9864121e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9864121e0" ] ; feo:hasResourceEstimate [ feo:gflops "54.09735e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "25574.68e0" ] . a it6:Run ; feo:runId "00eae823dbe84ad0af7fec62e6d6e68f" ; it6:realizes "ChangeViT" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_dsifn_scratch_ChangeViT" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "24" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785075849013"^^ ; feo:endTime "1785079389496"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8953556e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8829195e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8925765e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8929474e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7919201e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8059939e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8799154e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8922487e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8932335e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8862176e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8929046e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8929046e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "3540.483e0" ] . a it6:Run ; feo:runId "0c374068f6424a3fb64213d6daaeb4bf" ; it6:realizes "SiamCRNN" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_dsifn_pretrained_imagenet1K_SiamCRNN" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "11" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785909606254"^^ ; feo:endTime "1785911788626"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9248212e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9159459e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9232704e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9233938e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8458549e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8574765e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.909006e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9176358e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9179299e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9230499e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9289745e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9289745e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2182.372e0" ] . a it6:Run ; feo:runId "2a680b3eba894f56b36fd3879908880e" ; it6:realizes "CSSM" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_dsifn_scratch_CSSM" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "8" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785073824925"^^ ; feo:endTime "1785075839121"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8299166e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8086471e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8271394e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8266476e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6828576e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7052325e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8022143e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8186845e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8178394e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8153221e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8357707e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8357707e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.776941e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2014.196e0" ] . a it6:Run ; feo:runId "2fc04041a04644f1a34a9a4e72d30f51" ; it6:realizes "CGNet" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_dsifn_scratch_CGNet" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "42" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785065515147"^^ ; feo:endTime "1785070888295"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9053726e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8947897e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9032037e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9037867e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8108891e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8234926e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8868839e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8996876e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9015857e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9036831e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9067473e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9067473e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "5373.148e0" ] . a it6:Run ; feo:runId "3af1da36bf674e21adba67f76fc7e078" ; it6:realizes "SiamCRNN" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_dsifn_scratch_SiamCRNN" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "34" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785081843035"^^ ; feo:endTime "1785086316977"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8916301e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8794029e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8890957e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8896211e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7863455e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8003351e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8728604e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8860347e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8875389e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8865685e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8921779e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8921779e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "4473.942e0" ] . a it6:Run ; feo:runId "466d50d2ed04481aa1518a604a81a34d" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_dsifn_pretrained_imagenet1K_UnetChangeDetection" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "12" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785925316312"^^ ; feo:endTime "1785927656495"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9299517e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9224146e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9288937e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.92971e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8569084e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8672282e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9050196e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9183159e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9220937e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9430664e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9397179e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9397179e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2340.183e0" ] . a it6:Run ; feo:runId "4c2b4847e5c541cab79f814dc0b9e772" ; it6:realizes "ChangeViT" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_dsifn_pretrained_imagenet1K_ChangeViT" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "12" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785904441332"^^ ; feo:endTime "1785906750300"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9159077e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9053412e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9138724e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9138075e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8282186e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8414042e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9035954e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9114491e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9113308e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9071058e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9163086e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9163086e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2308.968e0" ] . a it6:Run ; feo:runId "4f79a44b0290458abd1050dbb2aa614d" ; it6:realizes "TinyCD" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_dsifn_scratch_TinyCD" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "48" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785089467815"^^ ; feo:endTime "1785095443237"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8537667e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.830445e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8463567e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8459634e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7132663e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7336382e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8521108e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8663838e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8656797e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8099759e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8272346e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8272346e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "5975.422e0" ] . a it6:Run ; feo:runId "6133318c4fcf455c8941179af3bdb3a5" ; it6:realizes "BIT" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_dsifn_pretrained_imagenet1K_BIT" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "6" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785895501906"^^ ; feo:endTime "1785897264127"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8704418e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8595922e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8671599e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8692664e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7551045e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7654741e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8502286e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8658093e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8777966e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8780214e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8685146e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8685146e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1762.221e0" ] . a it6:Run ; feo:runId "731a24813399467cb7ea40998383433f" ; it6:realizes "STANet" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_dsifn_pretrained_imagenet1K_STANet" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "15" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785911799041"^^ ; feo:endTime "1785914411478"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9039816e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8926845e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9014504e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9018192e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8074808e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8205823e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8892153e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9009479e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9019779e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8965102e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9019534e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9019534e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2612.437e0" ] . a it6:Run ; feo:runId "7347c082aa894b8eb97dfb77aebd1337" ; it6:realizes "TinyCD" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_dsifn_pretrained_imagenet1K_TinyCD" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "99" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785914422069"^^ ; feo:endTime "1785925306103"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8904332e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8765666e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8867421e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8869866e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7818904e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.796529e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8805925e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8926127e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8932086e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8726869e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8809483e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8809483e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "10884.03e0" ] . a it6:Run ; feo:runId "828d87f091ae4c8b927743c232f4d2f1" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_dsifn_pretrained_imagenet1K_HRNetChangeDetection" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785906761326"^^ ; feo:endTime "1785909595957"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.899711e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8909513e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8975797e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8992913e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8044347e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8141901e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8774622e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8926406e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9031102e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9130507e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9025737e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9025737e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2834.631e0" ] . a it6:Run ; feo:runId "992f208d1bea4a2c884a547451f38283" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_dsifn_scratch_HRNetChangeDetection" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785079400034"^^ ; feo:endTime "1785081832937"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7947991e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7797533e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7884064e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7925467e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6409349e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.6507186e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7787198e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.791659e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8156803e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7980389e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7851805e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7851805e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2432.903e0" ] . a it6:Run ; feo:runId "d185445541f140ad94584b55b2eb34d8" ; it6:realizes "CGNet" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_dsifn_pretrained_imagenet1K_CGNet" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "11" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785897275717"^^ ; feo:endTime "1785899477083"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.920648e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9122555e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9189993e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9195718e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8395539e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8501376e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9014673e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9135225e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9157432e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9245589e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9245422e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9245422e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2201.366e0" ] . a it6:Run ; feo:runId "e51604ae66ed49a685072c1334ff1e94" ; it6:realizes "STANet" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_dsifn_scratch_STANet" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "20" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785086328603"^^ ; feo:endTime "1785089457744"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8544813e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8373685e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8491273e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8500502e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7224194e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7378116e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8411155e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8573577e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.860156e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8346486e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8410533e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8410533e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "3129.141e0" ] . a it6:Run ; feo:runId "e878744fb3584e72a3b5b4ff06fefa34" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_dsifn_scratch_UnetChangeDetection" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785095453353"^^ ; feo:endTime "1785099593691"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8744104e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8620168e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8715216e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8730463e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7592562e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.772298e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8518886e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8681969e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8743956e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8760292e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8748719e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8748719e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "4140.338e0" ] . a it6:Run ; feo:runId "fe9d8340a6ac49108ce0235c9a36ec64" ; it6:realizes "ChangeFormerV6" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_dsifn_scratch_ChangeFormerV6" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "18" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785070900388"^^ ; feo:endTime "1785073814626"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8705635e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8523352e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8664594e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8660416e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7453218e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.7643832e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8587756e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8705053e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8698282e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8461726e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.862451e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.862451e0" ] ; feo:hasResourceEstimate [ feo:gflops "138.7708e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2914.238e0" ] . a it6:Run ; feo:runId "fffae08a1e4d4b63944459ade40fa704" ; it6:realizes "BIT" ; feo:onDataset "dsifn" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_dsifn_scratch_BIT" ; feo:experimentId "665697534035056088" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "26" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785061760766"^^ ; feo:endTime "1785065503879"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8824542e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8697057e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8794941e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8803481e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7711239e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.784908e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8632753e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8779968e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8808054e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8774872e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8809965e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8809965e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "3743.113e0" ] . a it6:Run ; feo:runId "18f827481d3d4df38e4f11289a575d25" ; it6:realizes "NanoDetPlus" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_pretrained_imagenet1K_NanoDetPlus" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "44" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782654430435"^^ ; feo:endTime "1782660561207"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.4054051e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.1767469e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.2602633e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.2359431e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2038583e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.06024498e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2038583e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2773633e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2773633e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.09230535e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.01444561e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.2982797e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.3156e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.121178e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.37021e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "6130.772e0" ] . a it6:Run ; feo:runId "1a945cc59f86434e9485ebf5470af363" ; it6:realizes "RetinaNet" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_pretrained_imagenet1K_RetinaNet" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782660573278"^^ ; feo:endTime "1782662591980"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5823021e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.4013768e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.485532e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.3973738e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3564354e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1784675e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3564354e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4661846e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4661846e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1652239e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.02573404e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.5843865e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.5159967e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2676752e0" ] ; feo:hasResourceEstimate [ feo:gflops "128.8747e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2018.702e0" ] . a it6:Run ; feo:runId "2adc5cc199a1401b8ead63f511020c14" ; it6:realizes "FasterRCNN" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_scratch_FasterRCNN" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "26" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781547103469"^^ ; feo:endTime "1781550909648"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5673448e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.3160303e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.4015345e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.3490249e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.311822e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1488532e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.311822e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4062021e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4062021e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1489526e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.02386972e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.4373168e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.4516156e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2245635e0" ] ; feo:hasResourceEstimate [ feo:gflops "230.6307e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "3806.179e0" ] . a it6:Run ; feo:runId "2b51e0c32a8f4a0f9208f772fdd21d41" ; it6:realizes "SSD" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_pretrained_imagenet1K_SSD" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782666159588"^^ ; feo:endTime "1782668974477"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6032857e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.362146e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.376568e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.384763e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3419764e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1599838e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3419764e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4405558e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4405558e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1488432e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.02229421e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.4577904e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.4938089e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2308417e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.57813e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2814.889e0" ] . a it6:Run ; feo:runId "2ba0a061b5904c42968850feea4c72fa" ; it6:realizes "SSDLite" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_scratch_SSDLite" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "47" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781567905072"^^ ; feo:endTime "1781574041354"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3289414e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.1190813e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.4575849e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1850277e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1500767e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.003506312e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1500767e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2207181e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2207181e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0839951e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.01376979e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.495297e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2637521e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.02830952e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.515166e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "6136.282e0" ] . a it6:Run ; feo:runId "2bbdd0a7360245ca92ecf2271001a59c" ; it6:realizes "SparseRCNN" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_scratch_SparseRCNN" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781563204890"^^ ; feo:endTime "1781565136169"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.003083306e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "3.360611E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "3.30033E-4" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "7.121611E-4" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "5.448739E-4" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "5.448739E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.01087131e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.01087131e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "9.966111E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "7.580487E-5" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "1.70068E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.01461206e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.8634e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1931.279e0" ] . a it6:Run ; feo:runId "2e56b87228b741d188e0d3051445ddda" ; it6:realizes "FCOS" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_pretrained_imagenet1K_FCOS" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "6" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782652707257"^^ ; feo:endTime "1782654418306"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6238982e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.4711501e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.5324489e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.4417183e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.4019447e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2319083e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.4019447e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.5054259e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.5054259e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1769736e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.02788562e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.5629252e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.5552039e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3051708e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.7107e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1711.049e0" ] . a it6:Run ; feo:runId "3b7fda1a573f4202a52c271f0c6bbdfa" ; it6:realizes "ATSS" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_pretrained_imagenet1K_ATSS" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "30" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782638762227"^^ ; feo:endTime "1782642853955"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5910898e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.4021467e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.4760395e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.3979743e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3567008e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1747252e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3567008e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4572602e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4572601e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1553711e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.02321819e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.59323e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.5069703e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2543985e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.36328e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "4091.728e0" ] . a it6:Run ; feo:runId "417aaf074dcd447984a37b1a36e3b74c" ; it6:realizes "FasterRCNN" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_pretrained_imagenet1K_FasterRCNN" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "11" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782650460021"^^ ; feo:endTime "1782652694911"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6292523e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.427281e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.5639959e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.4218793e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3809239e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2059887e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3809239e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4890217e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4890217e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1721303e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.02418314e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.6242347e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.5392405e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.288562e0" ] ; feo:hasResourceEstimate [ feo:gflops "280.3898e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2234.89e0" ] . a it6:Run ; feo:runId "47bc55ef672d4e4ba70310c01e13b1fc" ; it6:realizes "NanoDetPlus" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_scratch_NanoDetPlus" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "45" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781553373552"^^ ; feo:endTime "1781559657981"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.4044017e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.1735941e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.2172198e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.2337636e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2019005e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.06570516e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2019005e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2771542e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2771542e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.08811344e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.01282186e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.2586996e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.3147e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1249694e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.37021e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "6284.429e0" ] . a it6:Run ; feo:runId "6227491539c4411fa5f68039b9cd1079" ; it6:realizes "ATSS" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_scratch_ATSS" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "22" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781535209207"^^ ; feo:endTime "1781538550881"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.524999e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.2836153e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.333568e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.3286221e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2852866e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1066361e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2852866e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3686959e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3686959e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.130028e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.02089528e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.3791797e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.4208844e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1630668e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.36328e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "3341.674e0" ] . a it6:Run ; feo:runId "6b6d528a73b44004aaad78eca5bb6313" ; it6:realizes "FCOS" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_scratch_FCOS" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781550922413"^^ ; feo:endTime "1781553361420"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6179651e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.4169874e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.4481864e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.4153533e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3727641e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2023676e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3727641e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4882236e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4882236e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1768506e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.02775929e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.6086996e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.537031e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2889223e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.7107e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2439.007e0" ] . a it6:Run ; feo:runId "7f643af5f0814fa8a3b6706aa2cfe128" ; it6:realizes "CenterNet" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_scratch_CenterNet" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "70" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781538563375"^^ ; feo:endTime "1781545658040"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.2810857e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.06326526e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.2052519e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1448129e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1177445e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.01000884e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1177445e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.1702005e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.1702005e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.06309956e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.009000453e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.2449764e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2099134e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0147772e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86761e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "7094.665e0" ] . a it6:Run ; feo:runId "8ac3ba5d3cd14d6c985a2a8141fa23ee" ; it6:realizes "RetinaNet" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_scratch_RetinaNet" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "23" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781559669663"^^ ; feo:endTime "1781563191797"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5372502e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.2842079e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.3780348e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.331216e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2894102e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1147896e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2894102e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3850344e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3850344e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1428404e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.02163902e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.4990777e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.4367292e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1705867e0" ] ; feo:hasResourceEstimate [ feo:gflops "128.8747e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "3522.134e0" ] . a it6:Run ; feo:runId "95c2c0519f5d44aebc37768089ee29ce" ; it6:realizes "SparseRCNN" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_pretrained_imagenet1K_SparseRCNN" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "22" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782662605084"^^ ; feo:endTime "1782666144295"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6481446e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.4388573e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.4092077e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.4320459e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3914071e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2176555e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3914071e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.5172663e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.5172663e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1783433e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.02587251e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.517033e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.5617915e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3393465e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.8634e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "3539.211e0" ] . a it6:Run ; feo:runId "98113925da4e4605b4d89a50b9ebfa5d" ; it6:realizes "SSD" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_scratch_SSD" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781565151284"^^ ; feo:endTime "1781567893421"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.634388e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.349926e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.2886256e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.396833e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3480087e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.157853e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3480087e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4342091e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4342091e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1489694e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.02252813e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.343158e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.4910702e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2215563e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.57813e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2742.137e0" ] . a it6:Run ; feo:runId "b37730c6ce034768b9ff5fa35b82d15c" ; it6:realizes "DETR" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_pretrained_imagenet1K_DETR" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "51" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782644093616"^^ ; feo:endTime "1782650447108"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5745982e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.3095781e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.5776653e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.3578669e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3116329e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1204049e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3116329e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4211234e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4211234e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1491922e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.02204212e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.666948e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.4781489e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1897095e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.13237e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "6353.492e0" ] . a it6:Run ; feo:runId "d38be0bd34f94590a57b131fa5cb750d" ; it6:realizes "SSDLite" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_pretrained_imagenet1K_SSDLite" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "48" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782668987635"^^ ; feo:endTime "1782675300385"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3681484e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.1365821e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.4683556e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.2092206e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1687562e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.01268303e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1687562e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2643173e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2643173e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.08991609e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.01321554e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.5265895e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.3150651e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.04764392e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4325388e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "6312.75e0" ] . a it6:Run ; feo:runId "f44d12ada47b4e77b2fb8f39de080cf8" ; it6:realizes "DETR" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_scratch_DETR" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "5" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781545671371"^^ ; feo:endTime "1781547091328"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "1.791298E-4" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "6.188119E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "6.610113E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "6.610113E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "6.610113E-5" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "1.538393E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "1.538393E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "1.538393E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "1.538393E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "2.068593E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.13237e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1419.957e0" ] . a it6:Run ; feo:runId "fbc561d2be8a4a4390c3dd6c4950414b" ; it6:realizes "CenterNet" ; feo:onDataset "forest_damages_larch_casebearer_tree_damage-casebearer" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_forest_damages_larch_casebearer_tree_damage-casebearer_pretrained_imagenet1K_CenterNet" ; feo:experimentId "670472718950560634" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "5" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782642867775"^^ ; feo:endTime "1782644081051"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "2.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86761e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1213.276e0" ] . a it6:Run ; feo:runId "063c69d488c34cb4b6880cc041ec77c8" ; it6:realizes "FasterRCNN" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_levir_ship_scratch_FasterRCNN" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "26" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780600974757"^^ ; feo:endTime "1780602547924"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6632351e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.04971264e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1207921e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2046595e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2065857e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2046595e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3039855e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3039855e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3039855e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.229529e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1181818e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3077634e0" ] ; feo:hasResourceEstimate [ feo:gflops "231.007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1573.167e0" ] . a it6:Run ; feo:runId "0f3515f046e74e348ea9690d9f53bb65" ; it6:realizes "FCOS" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_levir_ship_scratch_FCOS" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780602569665"^^ ; feo:endTime "1780603550786"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.7357785e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.05774499e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1455446e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2339204e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2354647e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2339204e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3407609e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3407609e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3407609e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2483696e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1454545e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.344732e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.6185e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "981.121e0" ] . a it6:Run ; feo:runId "2dd39df8b7834fa9baebbd5357100ee0" ; it6:realizes "SparseRCNN" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_levir_ship_scratch_SparseRCNN" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780606986103"^^ ; feo:endTime "1780614306457"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.86202e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "7320.354e0" ] . a it6:Run ; feo:runId "3ca0f1945ca54f43ad279c96068ffdf9" ; it6:realizes "DETR" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_levir_ship_scratch_DETR" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780600280966"^^ ; feo:endTime "1780600953729"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.1319e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "672.763e0" ] . a it6:Run ; feo:runId "40de130f2cfb445c9b8d016e08946ee5" ; it6:realizes "ATSS" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_levir_ship_pretrained_imagenet1K_ATSS" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781893045825"^^ ; feo:endTime "1781893840536"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.7161143e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.06523655e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.219802e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2275385e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2269267e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2275385e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3233696e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3233696e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3233696e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2440217e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2181818e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3255083e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.33007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "794.711e0" ] . a it6:Run ; feo:runId "4cd2e7618c9d4833b05844dfcf1a7cfa" ; it6:realizes "RetinaNet" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_levir_ship_scratch_RetinaNet" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "45" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780604903358"^^ ; feo:endTime "1780606963444"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5923921e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.02886911e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.04653465e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1660051e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1684637e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1660051e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2648551e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2648551e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2646739e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1894927e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.04545455e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2693161e0" ] ; feo:hasResourceEstimate [ feo:gflops "128.0447e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2060.086e0" ] . a it6:Run ; feo:runId "57f77b44eeac401794b67fd00046864b" ; it6:realizes "NanoDetPlus" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_levir_ship_scratch_NanoDetPlus" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780603572649"^^ ; feo:endTime "1780604882054"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3437684e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.008916373e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.04918659e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.08313274e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.08414575e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.08313274e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.196558e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.196558e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1858696e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1355072e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.09090909e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1987061e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.344e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1309.405e0" ] . a it6:Run ; feo:runId "5e7ad91da88548c985e5bb3cdcb93fe8" ; it6:realizes "FasterRCNN" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_levir_ship_pretrained_imagenet1K_FasterRCNN" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781896153300"^^ ; feo:endTime "1781897153351"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.7628117e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.04476577e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.2072607e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2310823e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2321677e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2310823e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3298913e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3298913e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3298913e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.253442e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2181818e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3321626e0" ] ; feo:hasResourceEstimate [ feo:gflops "280.3744e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1000.051e0" ] . a it6:Run ; feo:runId "5f2c20ba0bb74064aad13d27bf462471" ; it6:realizes "SSD" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_levir_ship_scratch_SSD" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "12" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780614334508"^^ ; feo:endTime "1780615107608"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6349718e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.03195706e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.2338393e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.189743e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1886419e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.189743e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2889493e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2889493e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2856884e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.211413e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2727273e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2892791e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.42879e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "773.1e0" ] . a it6:Run ; feo:runId "911f30bc3b344e6596144e520bece92c" ; it6:realizes "SparseRCNN" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_levir_ship_pretrained_imagenet1K_SparseRCNN" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "36" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781900580483"^^ ; feo:endTime "1781902340886"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.7149697e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.04476687e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1108911e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2174408e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2188898e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2174408e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3269928e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3269928e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3269928e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.248913e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1090909e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3314233e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.86202e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1760.403e0" ] . a it6:Run ; feo:runId "958e2f51b0c54a71a304d27495fced36" ; it6:realizes "DETR" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_levir_ship_pretrained_imagenet1K_DETR" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "24" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781895126333"^^ ; feo:endTime "1781896131235"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6854578e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.02782187e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1752475e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1950014e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1960844e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1950014e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2978261e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2978261e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2978261e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2141304e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1727273e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3003697e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.1319e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1004.902e0" ] . a it6:Run ; feo:runId "a1b46c64241d45f29c34508e4212983c" ; it6:realizes "SSD" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_levir_ship_pretrained_imagenet1K_SSD" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781902366285"^^ ; feo:endTime "1781902995243"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.7112458e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.04741623e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1386139e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2137325e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2151647e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2137325e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3259058e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3259058e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3211957e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2365942e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1363636e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3297597e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.42879e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "628.958e0" ] . a it6:Run ; feo:runId "bd18b58287b045c2a63c469b734708d7" ; it6:realizes "ATSS" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_levir_ship_scratch_ATSS" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "39" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780597112375"^^ ; feo:endTime "1780598531981"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5466162e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.01702035e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.2029703e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1509283e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.1497056e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1509283e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2443841e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2443841e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2436594e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1813406e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2452865e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.33007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1419.606e0" ] . a it6:Run ; feo:runId "c36b72b0cada46ecb8f994d098e00dea" ; it6:realizes "NanoDetPlus" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_levir_ship_pretrained_imagenet1K_NanoDetPlus" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "42" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781897743197"^^ ; feo:endTime "1781899388568"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.379776e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.008710077e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.05586119e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.08923421e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.08978859e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.08923421e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2181159e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2181159e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2021739e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1382246e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.08181818e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2208872e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.344e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1645.371e0" ] . a it6:Run ; feo:runId "c4aafcc9bedd47f398f6d0baa4ed6102" ; it6:realizes "RetinaNet" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_levir_ship_pretrained_imagenet1K_RetinaNet" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "22" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781899409961"^^ ; feo:endTime "1781900557899"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.7769552e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.05629377e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1643564e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2417131e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2437332e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2417131e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3518116e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3518116e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3518116e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2606884e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1636364e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3556377e0" ] ; feo:hasResourceEstimate [ feo:gflops "128.0447e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1147.938e0" ] . a it6:Run ; feo:runId "d0173faf0e4c4356bbba52a57a26f73c" ; it6:realizes "SSDLite" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_levir_ship_pretrained_imagenet1K_SSDLite" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "26" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781903016991"^^ ; feo:endTime "1781904094502"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.2216205e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "8.44054E-4" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.06044554e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0484901e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.04871735e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0484901e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.1291667e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.1291667e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1248188e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.08731884e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.07272727e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1303142e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4265438e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1077.511e0" ] . a it6:Run ; feo:runId "d53c9cf196004cd1b8671220e62fab00" ; it6:realizes "SSDLite" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_levir_ship_scratch_SSDLite" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "24" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780615128297"^^ ; feo:endTime "1780616312711"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.1103727e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.01007623e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.02871287e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.02524712e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.02552165e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.02524712e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.09873188e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.09873188e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.08387681e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0557971e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.02727273e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1001848e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.508307e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1184.414e0" ] . a it6:Run ; feo:runId "d71c0d927cba4c71b9cbb0a5e8bc1484" ; it6:realizes "CenterNet" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_levir_ship_pretrained_imagenet1K_CenterNet" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "34" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781893863758"^^ ; feo:endTime "1781895103389"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6202327e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.03228054e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.109901e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1641771e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.165069e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1641771e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.254529e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.254529e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.254529e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2014493e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1090909e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2574861e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86484e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1239.631e0" ] . a it6:Run ; feo:runId "dd3a3903ecc84279a47d9b85629cf07a" ; it6:realizes "CenterNet" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_levir_ship_scratch_CenterNet" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "52" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780598553960"^^ ; feo:endTime "1780600258344"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.00990099e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.001650165e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.00990099e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.003135314e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.003135314e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.003135314e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.002717391e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.002717391e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.002717391e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.002717391e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.009090909e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0025878e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86484e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1704.384e0" ] . a it6:Run ; feo:runId "f274d7baa5774f3b9b70007c8a3a9948" ; it6:realizes "FCOS" ; feo:onDataset "levir_ship" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_levir_ship_pretrained_imagenet1K_FCOS" ; feo:experimentId "721496993976668216" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "7" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781897175193"^^ ; feo:endTime "1781897721569"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.795606e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0586302e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.139604e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.2329524e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.235177e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.2329524e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3509058e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3509058e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3505435e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2552536e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "-1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1363636e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.355268e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.6185e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "546.376e0" ] . a it6:Run ; feo:runId "09de60b408c1499fa60ed3d12573a009" ; it6:realizes "DenseNet161MultiLabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_scratch_DenseNet161MultiLabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "64" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782082374273"^^ ; feo:endTime "1782082805647"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9417262e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8392319e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8518519e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8508174e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8881334e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8530441e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8559701e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8061842e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8506629e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8506629e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.05827378e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9087853e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784673e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "431.374e0" ] . a it6:Run ; feo:runId "318ed311f9ae4a0a80d8f4087bab97e1" ; it6:realizes "ResNet152MultiLabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_pretrained_imagenet1K_ResNet152MultiLabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "38" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783012136238"^^ ; feo:endTime "1783012373036"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9634415e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.939605e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9069279e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9071364e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9552836e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9094737e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9110209e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9257352e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9043964e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9043964e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.03655855e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9791656e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55682e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "236.798e0" ] . a it6:Run ; feo:runId "31d48db53bc9412ca133eb71ae52430f" ; it6:realizes "MLPMixerMultilabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_scratch_MLPMixerMultilabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "92" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782083260334"^^ ; feo:endTime "1782083731756"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9296317e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.81429e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8186969e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8159673e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8704601e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8310568e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8321646e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7780345e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8066992e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8066992e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.07036833e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.891061e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61983e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "471.422e0" ] . a it6:Run ; feo:runId "35e8f282c5b944038b19ee40db572f1b" ; it6:realizes "ResNet50MultiLabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_pretrained_imagenet1K_ResNet50MultiLabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "50" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783012385180"^^ ; feo:endTime "1783012599696"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9624794e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9412568e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9049774e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9052429e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9503882e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9027778e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9040638e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9334546e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9071877e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9071877e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.03752062e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9800581e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109499e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "214.516e0" ] . a it6:Run ; feo:runId "4093ab0e7c1741209c0a926c76f56c3a" ; it6:realizes "EfficientNetB0MultiLabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_scratch_EfficientNetB0MultiLabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "99" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782082817205"^^ ; feo:endTime "1782083245660"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.889912e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5920552e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7242685e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7051561e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7000599e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7146739e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7086022e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5621702e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7341242e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7341242e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.110088e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6976602e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4004012e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "428.455e0" ] . a it6:Run ; feo:runId "425ef81a51dc496b8303eccbf7e3a926" ; it6:realizes "EfficientNetB0MultiLabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_pretrained_imagenet1K_EfficientNetB0MultiLabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "78" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783011565434"^^ ; feo:endTime "1783011873788"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9615173e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9264585e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9017544e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9015026e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9535583e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9068454e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9077879e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9033427e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8967202e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8967202e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.03848268e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9707805e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4004012e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "308.354e0" ] . a it6:Run ; feo:runId "435fefeb8b14409ab6376984be9be055" ; it6:realizes "SwinTransformerMultilabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_pretrained_imagenet1K_SwinTransformerMultilabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783517951983"^^ ; feo:endTime "1783518643668"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9206982e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5626011e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7844602e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7529153e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7530564e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8440514e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8161213e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4957428e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7327285e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7327285e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.07930181e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.8769412e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720909e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "691.685e0" ] . a it6:Run ; feo:runId "53a9452c89a84ea3bdeaaf6857121e3c" ; it6:realizes "ResNet50MultiLabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_scratch_ResNet50MultiLabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "71" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782084317272"^^ ; feo:endTime "1782084658206"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9270203e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7658907e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8149181e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8093488e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8318536e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8140669e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8174949e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7497123e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8157711e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8157711e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.07297966e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.8394892e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109499e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "340.934e0" ] . a it6:Run ; feo:runId "56940a3bef6648bd8b01ffb36fad0b50" ; it6:realizes "SwinTransformerMultilabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_scratch_SwinTransformerMultilabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "37" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783493797081"^^ ; feo:endTime "1783494126631"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8236668e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.07767441e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.3726161e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.2310885e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.07886451e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.622549e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.2251533e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.08739815e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.2658758e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.2658758e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1763332e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.2408581e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720909e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "329.55e0" ] . a it6:Run ; feo:runId "623779495a1f42f2926824bda81f9313" ; it6:realizes "AlexNetMultiLabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_pretrained_imagenet1K_AlexNetMultiLabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "30" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783010785228"^^ ; feo:endTime "1783010919316"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9512095e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9052765e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8744252e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8734977e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9113714e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8866571e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.886443e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9009998e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8625262e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8625262e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.04879054e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9604049e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101713e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "134.088e0" ] . a it6:Run ; feo:runId "885de7ad2adf433c83bc05e3c7448a5b" ; it6:realizes "VisionTransformerMultilabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_pretrained_imagenet1K_VisionTransformerMultilabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "24" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783012839690"^^ ; feo:endTime "1783012989576"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.96674e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9465592e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9155618e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9155465e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.954288e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9155618e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.915943e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9394702e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9155618e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9155618e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.03326003e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9835566e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86666e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "149.886e0" ] . a it6:Run ; feo:runId "a32e932047b84a39ab5915db74fa1987" ; it6:realizes "MLPMixerMultilabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_pretrained_imagenet1K_MLPMixerMultilabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "48" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783011885509"^^ ; feo:endTime "1783012122653"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9649533e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.943145e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9111189e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9112668e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9531179e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9101671e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9107776e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9339276e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9120726e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9120726e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.03504673e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9781746e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61983e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "237.144e0" ] . a it6:Run ; feo:runId "aee39345ca7243b6bce21ae8db114908" ; it6:realizes "VisionTransformerMultilabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_scratch_VisionTransformerMultilabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "71" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782085223616"^^ ; feo:endTime "1782085632365"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9454371e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8529332e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8606529e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8581284e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8973192e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8658192e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8669035e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.83003e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8555478e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8555478e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.05456295e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9212399e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86666e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "408.749e0" ] . a it6:Run ; feo:runId "ba8fb3467a824137a6e06692714d26a3" ; it6:realizes "ConvNeXtTinyMultiLabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_scratch_ConvNeXtTinyMultiLabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782081887695"^^ ; feo:endTime "1782082362267"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8717702e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4884655e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.6517357e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.6175998e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6390949e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7006421e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.6829707e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4524116e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.6092114e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.6092114e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1282298e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6087675e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469682e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "474.572e0" ] . a it6:Run ; feo:runId "cbd881936f8f4db5b506973140b4b684" ; it6:realizes "AlexNetMultiLabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_scratch_AlexNetMultiLabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782081452094"^^ ; feo:endTime "1782081870955"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9113524e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.690361e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7773559e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7615238e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6965254e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7691257e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.749591e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6995976e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7857641e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7857641e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.08864761e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.7927605e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101713e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "418.861e0" ] . a it6:Run ; feo:runId "d9872a1d08f641489fb2d29092d4f222" ; it6:realizes "VGG16MultiLabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_pretrained_imagenet1K_VGG16MultiLabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "27" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783012645061"^^ ; feo:endTime "1783012825086"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9557449e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9174087e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8873338e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8873171e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9357869e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8898246e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8923403e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9034646e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8848569e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8848569e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.04425509e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9677811e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46626e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "180.025e0" ] . a it6:Run ; feo:runId "e7a72a985edb4a8aaeb7ae7e6a65a822" ; it6:realizes "DenseNet161MultiLabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_pretrained_imagenet1K_DenseNet161MultiLabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "60" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783011192318"^^ ; feo:endTime "1783011554015"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9623419e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9387629e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9036568e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.90352e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.954619e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9107016e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9110253e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9243508e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8967202e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8967202e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.03765805e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9797902e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784673e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "361.697e0" ] . a it6:Run ; feo:runId "ed6014b85b264324ae58a3a8f861a173" ; it6:realizes "VGG16MultiLabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_scratch_VGG16MultiLabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "80" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782084710137"^^ ; feo:endTime "1782085203586"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9204233e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7896643e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7991675e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7965263e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8175677e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7944828e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7958679e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7822705e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8039079e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8039079e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.07957669e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.862268e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46626e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "493.449e0" ] . a it6:Run ; feo:runId "ee65e7f903d449d9b59cee7c9920c426" ; it6:realizes "ResNet152MultiLabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_scratch_ResNet152MultiLabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "96" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782083745262"^^ ; feo:endTime "1782084303995"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9172622e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7106728e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7916955e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7799791e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7446206e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.785175e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7711597e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6975676e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7983252e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7983252e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.08273777e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.8078387e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55682e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "558.733e0" ] . a it6:Run ; feo:runId "fbf01bbca1884635915fc8097fd9c618" ; it6:realizes "ConvNeXtTinyMultiLabel" ; feo:onDataset "dlrsd_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_dlrsd_multilabel_pretrained_imagenet1K_ConvNeXtTinyMultiLabel" ; feo:experimentId "756920433079712389" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "53" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783010931829"^^ ; feo:endTime "1783011180508"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9649533e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9360963e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9113043e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9117766e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9530961e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9084605e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.910622e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.921979e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9141661e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9141661e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.03504673e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9809823e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469682e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "248.679e0" ] . a it6:Run ; feo:runId "06f91dcfcfa44336aa7fb9f4d1dbfb1f" ; it6:realizes "ResNet152" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_scratch_ResNet152" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "49" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1767024556987"^^ ; feo:endTime "1767149599658"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9966452e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6160988e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9966452e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9964065e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8294446e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7745424e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9966452e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9963199e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5500742e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9966452e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9966452e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.5568e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "125042.7e0" ] . a it6:Run ; feo:runId "1005303374c24da997ce3cdbd33cacf7" ; it6:realizes "AlexNet" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_pretrained_imagenet1K_AlexNet" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771217127677"^^ ; feo:endTime "1771246589369"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9962288e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5858774e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9962288e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9959747e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8082727e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6858055e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9962288e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9958147e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.535708e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9962288e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9962288e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101304e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "29461.69e0" ] . a it6:Run ; feo:runId "18aa4195674341e482ca88a51a4be120" ; it6:realizes "SwinTransformer" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_pretrained_imagenet1K_SwinTransformer" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "24" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771520567370"^^ ; feo:endTime "1771557050166"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9971311e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6814282e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9971311e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.996944e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8567989e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8689015e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9971311e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9970125e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.625197e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9971311e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9971311e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720902e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "36482.8e0" ] . a it6:Run ; feo:runId "354cf8d0c68f4d8e8712e1b37cce595c" ; it6:realizes "EfficientNetB0" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_scratch_EfficientNetB0" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "37" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1766536843226"^^ ; feo:endTime "1766836149515"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9966221e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6337841e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9966221e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9964784e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8286795e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7212651e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9966221e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9964054e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5895926e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9966221e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9966221e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4003884e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "299306.3e0" ] . a it6:Run ; feo:runId "35ce8bc66f024065a581742bb75273c6" ; it6:realizes "AlexNet" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_scratch_AlexNet" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1765587653250"^^ ; feo:endTime "1765616958852"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9957892e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5149809e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9957892e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9953218e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7771282e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7376018e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9957892e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9951493e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4516001e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9957892e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9957892e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101304e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "29305.6e0" ] . a it6:Run ; feo:runId "528a166aa6754891ad6bba01b3d1ead3" ; it6:realizes "VisionTransformer" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_scratch_VisionTransformer" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "86" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1767968202949"^^ ; feo:endTime "1768136414805"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9926195e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3105305e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9926195e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9912196e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.5507719e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.3789585e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9926195e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9904289e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.277249e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9926195e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9926195e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "168211.9e0" ] . a it6:Run ; feo:runId "757c0c7b82d44afbb9d9ad26039b3091" ; it6:realizes "VGG16" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_scratch_VGG16" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "36" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1767487797298"^^ ; feo:endTime "1767616576164"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9961594e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5952602e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9961594e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9958945e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8040617e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.734463e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9961594e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.995761e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5342815e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9961594e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9961594e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46622e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "128778.9e0" ] . a it6:Run ; feo:runId "780b669c38e34d72b028c9a80bc0420e" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_scratch_ConvNeXtTiny" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1766286409579"^^ ; feo:endTime "1766358695545"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9895886e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.1421096e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9895886e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9844102e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1413698e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9895886e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9792857e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.1428571e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9895886e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9895886e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469675e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "72285.97e0" ] . a it6:Run ; feo:runId "8b84011eaddc4fbe996af968a419ce96" ; it6:realizes "ResNet50" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_scratch_ResNet50" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "43" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1767149612200"^^ ; feo:endTime "1767376372839"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9962288e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5733645e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9962288e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9959763e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8091527e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6687129e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9962288e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9958322e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.523626e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9962288e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9962288e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109479e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "226760.6e0" ] . a it6:Run ; feo:runId "8d4a5d26a36b442aa59a2c349e18e455" ; it6:realizes "ResNet50" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_pretrained_imagenet1K_ResNet50" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "20" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771498860655"^^ ; feo:endTime "1771520554687"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9970617e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6627093e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9970617e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9969125e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8526721e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.773431e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9970617e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9968452e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6049377e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9970617e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9970617e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109479e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "21694.03e0" ] . a it6:Run ; feo:runId "95af64f0705c44b382eea413b28b3e08" ; it6:realizes "MLPMixer" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_scratch_MLPMixer" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "40" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1766836161055"^^ ; feo:endTime "1767024544692"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9895886e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.1421096e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9895886e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9844102e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1413698e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9895886e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9792857e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.1428571e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9895886e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9895886e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "188383.6e0" ] . a it6:Run ; feo:runId "a5ff772fab5243ac844d2c2ed334be2f" ; it6:realizes "DenseNet161" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_scratch_DenseNet161" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "45" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1766358707359"^^ ; feo:endTime "1766536831879"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.996599e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5673893e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.996599e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.996424e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8300545e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6579814e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.996599e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9963466e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5268645e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.996599e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.996599e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784651e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "178124.5e0" ] . a it6:Run ; feo:runId "af0d95c2e2b0464b97c0fcf2a1a2e54c" ; it6:realizes "DenseNet161" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_pretrained_imagenet1K_DenseNet161" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "15" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771305026526"^^ ; feo:endTime "1771335542144"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9972699e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.701833e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9972699e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9971789e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8646705e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7885586e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9972699e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9971966e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6708764e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9972699e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9972699e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784651e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "30515.62e0" ] . a it6:Run ; feo:runId "b40b1c240bc142b98b9c090c6a78799b" ; it6:realizes "VGG16" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_pretrained_imagenet1K_VGG16" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "32" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771557063538"^^ ; feo:endTime "1771587762610"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9968997e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6529082e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9968997e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9968048e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8459703e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7725418e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9968997e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9968372e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6022597e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9968997e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9968997e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46622e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "30699.07e0" ] . a it6:Run ; feo:runId "bbb966e3e81d4a56a4e1679b63a2eaf9" ; it6:realizes "EfficientNetB0" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_pretrained_imagenet1K_EfficientNetB0" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "12" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771335553866"^^ ; feo:endTime "1771441908445"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9967146e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6119037e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9967146e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9965233e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8356494e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7986735e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9967146e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9965819e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5717917e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9967146e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9967146e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4003884e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "106354.6e0" ] . a it6:Run ; feo:runId "c754132bfb0a43b19eb2c08d4d0ac0dc" ; it6:realizes "SwinTransformer" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_scratch_SwinTransformer" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "7" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1767376385670"^^ ; feo:endTime "1767487784763"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9897275e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.1492922e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9897275e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9847495e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.0261133e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2842466e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9897275e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9848124e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.1465359e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9897275e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9897275e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720902e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "111399.1e0" ] . a it6:Run ; feo:runId "c8654cb513294f8abe7ca80c67077d96" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_pretrained_imagenet1K_ConvNeXtTiny" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771246601993"^^ ; feo:endTime "1771305014398"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.997108e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6833711e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.997108e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9969185e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8549894e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7276939e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.997108e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9968042e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6572169e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.997108e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.997108e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469675e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "58412.4e0" ] . a it6:Run ; feo:runId "d900f0a88c3f4c688cddf1facaed9368" ; it6:realizes "MLPMixer" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_pretrained_imagenet1K_MLPMixer" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "12" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771441920823"^^ ; feo:endTime "1771461436254"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9968535e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6792584e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9968535e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9967026e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8420491e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7602979e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9968535e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9966087e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6250646e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9968535e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9968535e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "19515.43e0" ] . a it6:Run ; feo:runId "e025b3a3796146d28c1534654863f813" ; it6:realizes "VisionTransformer" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_pretrained_imagenet1K_VisionTransformer" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771587778691"^^ ; feo:endTime "1771654583625"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.996784e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6267165e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.996784e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9966633e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8394917e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7403439e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.996784e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9966323e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5760431e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.996784e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.996784e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "66804.93e0" ] . a it6:Run ; feo:runId "f659fc6d324b424e942b6de6f8fb16ce" ; it6:realizes "ResNet152" ; feo:onDataset "hephaestus_image_classification" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_hephaestus_image_classification_pretrained_imagenet1K_ResNet152" ; feo:experimentId "759277664088463637" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "37" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1771461449200"^^ ; feo:endTime "1771498847645"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9972236e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.707945e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9972236e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9971529e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8623728e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7575461e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9972236e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9971351e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6738907e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9972236e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9972236e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.5568e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "37398.44e0" ] . a it6:Run ; feo:runId "0a68a3c951144031ae7c42cf49321cd0" ; it6:realizes "EfficientNetB0" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_ustc_smokers_pretrained_imagenet1K_EfficientNetB0" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "45" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770794491908"^^ ; feo:endTime "1770797345212"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.962249e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9617111e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.962249e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9623149e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.954676e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9617653e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.962249e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9626342e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9619133e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.962249e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.962249e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4003871e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "2853.304e0" ] . a it6:Run ; feo:runId "14dc39c0caa14c34834a6747d621d96a" ; it6:realizes "ResNet50" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_ustc_smokers_scratch_ResNet50" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "54" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764929885091"^^ ; feo:endTime "1764933429976"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8240964e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8207169e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8240964e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8225964e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7888093e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8209556e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8240964e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8230614e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8224884e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8240964e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8240964e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109477e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3544.885e0" ] . a it6:Run ; feo:runId "26434198519e4c468d58e10b48d4ecad" ; it6:realizes "VisionTransformer" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_ustc_smokers_pretrained_imagenet1K_VisionTransformer" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "24" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770805098064"^^ ; feo:endTime "1770806862903"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.973494e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.972801e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.973494e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9734962e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9681726e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9729842e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.973494e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9736433e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9727658e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.973494e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.973494e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1764.839e0" ] . a it6:Run ; feo:runId "2c0998fd4f2b4d818ecd3d5e99b51da6" ; it6:realizes "ResNet50" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_ustc_smokers_pretrained_imagenet1K_ResNet50" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770799836643"^^ ; feo:endTime "1770801460561"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9566265e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9556373e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9566265e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9564999e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9479168e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9559205e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9566265e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9566701e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.955656e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9566265e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9566265e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109477e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1623.918e0" ] . a it6:Run ; feo:runId "46af839097a145b9ae7917724c6cdff4" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_ustc_smokers_scratch_ConvNeXtTiny" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "68" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764909267713"^^ ; feo:endTime "1764913454015"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8289157e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8259686e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8289157e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8278595e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7945958e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8259716e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8289157e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8281048e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8272952e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8289157e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8289157e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469674e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "4186.302e0" ] . a it6:Run ; feo:runId "4abe4a05262c49a6aafa3ce79e3b50a6" ; it6:realizes "EfficientNetB0" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_ustc_smokers_scratch_EfficientNetB0" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "97" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764915987875"^^ ; feo:endTime "1764921561753"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7702811e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7680752e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7702811e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.7692693e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7241008e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7689099e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7702811e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7696799e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.768668e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7702811e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7702811e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4003871e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "5573.878e0" ] . a it6:Run ; feo:runId "4f5e71bff00049c4b2be925eeebc1bd1" ; it6:realizes "MLPMixer" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_ustc_smokers_pretrained_imagenet1K_MLPMixer" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "15" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770797357306"^^ ; feo:endTime "1770798653609"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9590361e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9585304e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9590361e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9591724e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9508111e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9598355e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9590361e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9603853e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9583222e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9590361e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9590361e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1296.303e0" ] . a it6:Run ; feo:runId "62e4f19b768b4e4c942317603745287d" ; it6:realizes "VisionTransformer" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_ustc_smokers_scratch_VisionTransformer" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "41" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764941086397"^^ ; feo:endTime "1764944318444"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8891566e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8874692e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8891566e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8889646e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8669138e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8886128e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8891566e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8902161e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8878076e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8891566e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8891566e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3232.047e0" ] . a it6:Run ; feo:runId "661946364bfe40529b375888d98b9cb6" ; it6:realizes "VGG16" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_ustc_smokers_scratch_VGG16" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "60" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764937208152"^^ ; feo:endTime "1764941081444"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8851406e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8828355e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8851406e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8849962e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8621001e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8838637e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8851406e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8862636e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8832545e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8851406e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8851406e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46622e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3873.292e0" ] . a it6:Run ; feo:runId "90da1cbc6c8e4ccfacfe268d4d429bba" ; it6:realizes "MLPMixer" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_ustc_smokers_scratch_MLPMixer" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "64" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764921562602"^^ ; feo:endTime "1764925977944"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8168675e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.813693e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8168675e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8151099e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.7800624e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8149531e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8168675e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8159962e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8151204e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8168675e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8168675e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "4415.342e0" ] . a it6:Run ; feo:runId "9835930053544e788a9664f1d4d7e1ef" ; it6:realizes "ResNet152" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_ustc_smokers_pretrained_imagenet1K_ResNet152" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "11" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770798666184"^^ ; feo:endTime "1770799825061"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9526104e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9517542e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9526104e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.952529e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9430967e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9522598e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9526104e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9530062e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9518203e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9526104e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9526104e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.5568e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1158.877e0" ] . a it6:Run ; feo:runId "9d256ca25cbd45778e16c4ef065d32c7" ; it6:realizes "SwinTransformer" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_ustc_smokers_pretrained_imagenet1K_SwinTransformer" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "24" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770801473434"^^ ; feo:endTime "1770803263314"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9726908e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9720527e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9726908e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9727122e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.967209e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9721507e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9726908e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9728384e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9720621e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9726908e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9726908e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720901e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1789.88e0" ] . a it6:Run ; feo:runId "a2627bb8f1744036b98cdc0e0d4fc8a3" ; it6:realizes "DenseNet161" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_ustc_smokers_scratch_DenseNet161" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "36" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764913455710"^^ ; feo:endTime "1764915987200"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8618474e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8600282e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8618474e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8618673e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8341022e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8621362e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8618474e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8637717e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8598523e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8618474e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8618474e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784649e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "2531.49e0" ] . a it6:Run ; feo:runId "c8cf9fa291674843aabaa1d92d390f43" ; it6:realizes "ConvNeXtTiny" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_ustc_smokers_pretrained_imagenet1K_ConvNeXtTiny" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770791163871"^^ ; feo:endTime "1770793130163"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9614458e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9609144e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9614458e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9615474e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9537129e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.961305e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9614458e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9622537e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.96114e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9614458e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9614458e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469674e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1966.292e0" ] . a it6:Run ; feo:runId "d0e257f3b9e24d23846399a36544cbaa" ; it6:realizes "AlexNet" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_ustc_smokers_scratch_AlexNet" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "99" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764903375674"^^ ; feo:endTime "1764909265530"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8393574e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8367655e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8393574e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8378209e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8070702e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8388923e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8393574e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8395301e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8379481e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8393574e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8393574e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101263e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "5889.856e0" ] . a it6:Run ; feo:runId "d43460d735b448a58720ed6f2dab6791" ; it6:realizes "DenseNet161" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_ustc_smokers_pretrained_imagenet1K_DenseNet161" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "15" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770793141831"^^ ; feo:endTime "1770794481305"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9558233e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9549356e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9558233e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9557738e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9469571e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9553623e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9558233e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9562869e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9550822e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9558233e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9558233e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784649e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1339.474e0" ] . a it6:Run ; feo:runId "d704f3fd8ac043e49dfadd644dcf2725" ; it6:realizes "SwinTransformer" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_ustc_smokers_scratch_SwinTransformer" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "51" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764933431360"^^ ; feo:endTime "1764937205347"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8883534e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8866323e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8883534e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8883926e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8659369e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8875093e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8883534e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8891894e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8865301e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8883534e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8883534e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720901e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3773.987e0" ] . a it6:Run ; feo:runId "ebe8bbc1699949cdbdbd1cbcb6b52877" ; it6:realizes "ResNet152" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "false"^^ ; feo:runName "multiclass_classification_ustc_smokers_scratch_ResNet152" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "60" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764925980264"^^ ; feo:endTime "1764929883262"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7718876e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7678853e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.7718876e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.769136e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.726021e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7688469e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7718876e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7696044e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7701906e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7718876e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7718876e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.5568e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3902.998e0" ] . a it6:Run ; feo:runId "f15fe40f073d470899d5c116d8e9d816" ; it6:realizes "VGG16" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_ustc_smokers_pretrained_imagenet1K_VGG16" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "22" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770803276917"^^ ; feo:endTime "1770805082440"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9333333e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9324043e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9333333e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9332251e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.9199498e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9332558e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9333333e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9340509e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9325088e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9333333e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9333333e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46622e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1805.523e0" ] . a it6:Run ; feo:runId "fd3e32c878c94baea76df10a90accb75" ; it6:realizes "AlexNet" ; feo:onDataset "ustc_smokers" ; it6:hasTaskType "MulticlassClassification" ; feo:pretrained "true"^^ ; feo:runName "multiclass_classification_ustc_smokers_pretrained_imagenet1K_AlexNet" ; feo:experimentId "820135683618089043" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1770789084917"^^ ; feo:endTime "1770791151602"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9092369e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.908179e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9092369e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9092547e0" ] ; feo:hasEvaluationResult [ rdfs:label "Kappa metric" ; feo:value "0.8910172e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9088095e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9092369e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9098829e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9081764e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9092369e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9092369e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101263e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "2066.685e0" ] . a it6:Run ; feo:runId "08078ec122b24953a9275fb5b93fc14d" ; it6:realizes "SSD" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_hrsid_scratch_SSD" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "14" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781664554412"^^ ; feo:endTime "1781666244024"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6396601e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.3923327e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.06130369e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.5714653e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3686315e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.3558177e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3686315e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4357396e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4357396e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.4105966e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.207818e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.1103448e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.6339552e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4227919e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.42879e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1689.612e0" ] . a it6:Run ; feo:runId "337e6bce4bdc46be8c970d7e212ec3c0" ; it6:realizes "SSD" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_hrsid_pretrained_imagenet1K_SSD" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "19" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782742902024"^^ ; feo:endTime "1782744966916"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6757823e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.4588374e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.3990091e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6433978e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.4182885e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4002867e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.4182885e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.478371e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.478371e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.4507491e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2225007e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.462069e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7190298e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4593954e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.42879e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2064.892e0" ] . a it6:Run ; feo:runId "432bb4cb546243618160ddcbf33bdcf9" ; it6:realizes "RetinaNet" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_hrsid_scratch_RetinaNet" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "62" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781642041188"^^ ; feo:endTime "1781649050981"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.7508864e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.5776326e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.322455e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.5959015e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5106443e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.5061024e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5106443e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.5671751e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.5671751e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5066739e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2433397e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.4413793e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.6686567e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.5601956e0" ] ; feo:hasResourceEstimate [ feo:gflops "128.0447e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "7009.793e0" ] . a it6:Run ; feo:runId "49fd8b4add474a0fb3055881fc702bba" ; it6:realizes "FasterRCNN" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_hrsid_pretrained_imagenet1K_FasterRCNN" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "52" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782717550294"^^ ; feo:endTime "1782724182422"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.8541647e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.7650033e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.6342462e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.7398129e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.6706421e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.6637682e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.6706421e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.7108962e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.7108962e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.593544e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2654318e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7891791e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.7047718e0" ] ; feo:hasResourceEstimate [ feo:gflops "280.3744e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "6632.128e0" ] . a it6:Run ; feo:runId "51baa3e1da2b4c80b4f0b49dc6c2b756" ; it6:realizes "SSDLite" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_hrsid_scratch_SSDLite" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "30" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781666256891"^^ ; feo:endTime "1781669409451"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.2464836e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.02235708e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.1480795e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1653489e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.07635535e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.07152063e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.07635535e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.1699537e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.1699537e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1606647e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.08281122e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.2758621e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2772388e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1605216e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.508307e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "3152.56e0" ] . a it6:Run ; feo:runId "590041c30c77470b9105d8751ee93489" ; it6:realizes "NanoDetPlus" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_hrsid_pretrained_imagenet1K_NanoDetPlus" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "52" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782728064299"^^ ; feo:endTime "1782732220555"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5533118e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.3044512e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.03395889e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.3661201e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3012295e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.299623e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3012295e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3523291e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3523291e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3397439e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1833288e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.2068966e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.4358209e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3469473e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.344e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "4156.256e0" ] . a it6:Run ; feo:runId "5b54ae3909c14f7eaa076daf876f2fcc" ; it6:realizes "CenterNet" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_hrsid_pretrained_imagenet1K_CenterNet" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "25" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782710413859"^^ ; feo:endTime "1782712565221"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5464939e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.3054448e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.1292904e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.4729266e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3003744e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2879874e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3003744e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3494143e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3494143e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3480251e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1887769e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.1413793e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.5406716e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3360107e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86484e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2151.362e0" ] . a it6:Run ; feo:runId "625959be9d534b809d72439aba1b017d" ; it6:realizes "FasterRCNN" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_hrsid_scratch_FasterRCNN" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "38" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781625613866"^^ ; feo:endTime "1781631097403"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.808892e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.6914899e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.4297447e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6599891e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5899256e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.5831239e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5899256e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.6269137e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.6269137e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5424135e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2495778e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.5172414e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7033582e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.6217842e0" ] ; feo:hasResourceEstimate [ feo:gflops "231.007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "5483.537e0" ] . a it6:Run ; feo:runId "843d61eeb77943ddbeff92255e45ccd0" ; it6:realizes "RetinaNet" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_hrsid_pretrained_imagenet1K_RetinaNet" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "60" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782732233863"^^ ; feo:endTime "1782738477320"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.8261099e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.6678203e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.6873077e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6783607e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5965939e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.5902404e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5965939e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.6546172e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.6546172e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5643694e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2591392e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.762069e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7563433e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.6456135e0" ] ; feo:hasResourceEstimate [ feo:gflops "128.0447e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "6243.457e0" ] . a it6:Run ; feo:runId "86183a0b4b9a4c709ae29d05b0139c04" ; it6:realizes "SparseRCNN" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_hrsid_scratch_SparseRCNN" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781649066002"^^ ; feo:endTime "1781664533116"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.86202e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "15467.11e0" ] . a it6:Run ; feo:runId "a0ca6bcc809643669a147b4ed5e9d3fa" ; it6:realizes "DETR" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_hrsid_scratch_DETR" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "6" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781624458608"^^ ; feo:endTime "1781625599900"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.1319e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1141.292e0" ] . a it6:Run ; feo:runId "a14a22664c764e079c91fd0d49c9d434" ; it6:realizes "FCOS" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_hrsid_pretrained_imagenet1K_FCOS" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "38" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782724197012"^^ ; feo:endTime "1782728050181"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.8445122e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.711732e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.5179244e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.7132875e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.6299078e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.6255819e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.6299078e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.6910924e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.6910924e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5725415e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2613729e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.5793104e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7869403e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.6844398e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.6185e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "3853.169e0" ] . a it6:Run ; feo:runId "a1cef235212b48e78e8ff87bfe4be8e7" ; it6:realizes "FCOS" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_hrsid_scratch_FCOS" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "68" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781631111395"^^ ; feo:endTime "1781637309147"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.8199435e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.6737431e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.2831574e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6488906e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5859493e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.5838464e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5859493e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.6497685e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.6497685e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5441024e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2493054e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.3482759e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7160448e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.6470954e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.6185e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "6197.752e0" ] . a it6:Run ; feo:runId "a65f76d714c549ef84a7f7160443a22e" ; it6:realizes "CenterNet" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_hrsid_scratch_CenterNet" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "33" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781621847157"^^ ; feo:endTime "1781624444325"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.4607759e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.2078882e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.02470297e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.3229316e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.22919e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.2235868e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.22919e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2874966e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2874966e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2868973e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1631163e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.03793104e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.3746269e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.2827208e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86484e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2597.168e0" ] . a it6:Run ; feo:runId "b6b3ac27e77e446499625b8ab8f852d8" ; it6:realizes "SSDLite" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_hrsid_pretrained_imagenet1K_SSDLite" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "14" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782744979955"^^ ; feo:endTime "1782746824839"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3091488e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.04732168e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.3976955e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.2572946e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1078121e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.09561239e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1078121e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2102969e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2102969e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1991011e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1061291e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.5e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.3720149e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.1949615e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4265438e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1844.884e0" ] . a it6:Run ; feo:runId "cb1d91349cd047189b15533e109d668d" ; it6:realizes "NanoDetPlus" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_hrsid_scratch_NanoDetPlus" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "58" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781637322869"^^ ; feo:endTime "1781642027577"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.5652822e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.3233262e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.02466402e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.3728435e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.314673e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.3114405e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.314673e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3596568e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3596568e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.348134e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.187197e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.137931e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.4447761e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.3548014e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.344e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "4704.708e0" ] . a it6:Run ; feo:runId "e3d8c1c876db4f72b98f15f1e80beca5" ; it6:realizes "DETR" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_hrsid_pretrained_imagenet1K_DETR" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "58" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782712580109"^^ ; feo:endTime "1782717536369"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6233839e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.4171637e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.5132301e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.5975481e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.3779762e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.361266e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.3779762e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.4462272e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.4462272e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.4307818e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2170526e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.6344827e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.6634328e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.4273562e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.1319e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "4956.26e0" ] . a it6:Run ; feo:runId "f402bcf3aa72414cb490788567103d4a" ; it6:realizes "ATSS" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_hrsid_scratch_ATSS" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "39" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781618312552"^^ ; feo:endTime "1781621833151"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.6995352e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.5249591e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.290012e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6022534e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.4734587e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.4673193e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.4734587e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.5273495e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.5273495e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.4899755e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2406974e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.4e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.6604478e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.517872e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.33007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "3520.599e0" ] . a it6:Run ; feo:runId "f78a74ee0cbf4317ab256db956ec820c" ; it6:realizes "SparseRCNN" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_hrsid_pretrained_imagenet1K_SparseRCNN" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782738492489"^^ ; feo:endTime "1782742884495"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.7921554e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.6023707e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.6455282e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6626937e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5316006e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.5197471e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5316006e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.6006538e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.6006538e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5217379e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2445928e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.7137931e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7425373e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.5884114e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.86202e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "4392.006e0" ] . a it6:Run ; feo:runId "f9e48caf06fc45dca06c4e8cb124d1a2" ; it6:realizes "ATSS" ; feo:onDataset "hrsid" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_hrsid_pretrained_imagenet1K_ATSS" ; feo:experimentId "831450372062301358" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "25" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782707813100"^^ ; feo:endTime "1782710399534"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.7573474e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.5810603e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.5514767e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.6893268e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.5228877e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.5117401e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.5228877e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.5811223e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.5811223e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.5246799e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.2505312e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.6275862e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.7630597e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.5662715e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.33007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "2586.434e0" ] . a it6:Run ; feo:runId "0ab7b374e48949b19a3c60e8a0b2c9d9" ; it6:realizes "DenseNet161MultiLabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_tallos_scratch_DenseNet161MultiLabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "93" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781932698332"^^ ; feo:endTime "1781955452480"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9979e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6088675e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9460987e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9448916e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6512937e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9594997e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9587768e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5790429e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9330668e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9330668e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.00210003e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.645709e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.787647e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "22754.15e0" ] . a it6:Run ; feo:runId "0dde23bc4da74db0b7e04a3b65183499" ; it6:realizes "VGG16MultiLabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_tallos_pretrained_imagenet1K_VGG16MultiLabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "99" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782984030809"^^ ; feo:endTime "1783000798764"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.998552e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.635061e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9629705e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9622345e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6674907e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9729217e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9723343e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6124409e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9532209e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9532209e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.001448031e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6546327e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.47178e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "16767.96e0" ] . a it6:Run ; feo:runId "2c45ce37082f4a279717e0e82dd5cc8a" ; it6:realizes "SwinTransformerMultilabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_tallos_scratch_SwinTransformerMultilabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "7" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783489909840"^^ ; feo:endTime "1783493240246"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9802687e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "1.473761E-4" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.003225889e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.00279807e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "5.478966E-4" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.747331e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.01040231e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "8.513859E-5" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.001616433e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.001616433e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.01973127e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.04437145e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.721944e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "3330.406e0" ] . a it6:Run ; feo:runId "50f239ef7fa14752b929fe3388190e0a" ; it6:realizes "ResNet50MultiLabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_tallos_pretrained_imagenet1K_ResNet50MultiLabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "64" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782970553570"^^ ; feo:endTime "1782983323318"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9986727e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6301074e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9660467e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.965406e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6569551e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9763875e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9758875e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6095206e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9559227e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9559227e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.00132726e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6597276e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.112258e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "12769.75e0" ] . a it6:Run ; feo:runId "51d7ab65d8164755af49ea90909d5681" ; it6:realizes "ResNet50MultiLabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_tallos_scratch_ResNet50MultiLabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782013544128"^^ ; feo:endTime "1782034218702"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9974103e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5994473e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9327946e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9305935e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6576049e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9568989e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9555887e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5609985e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9098749e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9098749e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.002589701e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6329971e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.112258e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "20674.57e0" ] . a it6:Run ; feo:runId "80059e8bead442d4b3695c495e02ba38" ; it6:realizes "DenseNet161MultiLabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_tallos_pretrained_imagenet1K_DenseNet161MultiLabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "39" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782925763474"^^ ; feo:endTime "1782934357637"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9987357e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6250348e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9675926e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9668005e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6586367e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9799824e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.979431e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6004427e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9555122e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9555122e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.001264265e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6670875e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.787647e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "8594.163e0" ] . a it6:Run ; feo:runId "8ac8054cad2d4eaa8285a7914be54315" ; it6:realizes "ResNet152MultiLabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_tallos_scratch_ResNet152MultiLabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "95" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781991331096"^^ ; feo:endTime "1782013235130"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9979003e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6074297e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9456207e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9439373e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6566782e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.967988e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9669373e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5730089e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9242637e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9242637e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.002099726e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6293476e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55958e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "21904.03e0" ] . a it6:Run ; feo:runId "8df2af8d8cb847d0a1331f42ff32ccda" ; it6:realizes "MLPMixerMultilabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_tallos_scratch_MLPMixerMultilabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "42" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781978654242"^^ ; feo:endTime "1781991022714"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.994647e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5207145e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8598489e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8538837e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5872463e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8903893e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.884161e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4806525e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8313342e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8313342e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.005353031e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.5395288e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.62086e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "12368.47e0" ] . a it6:Run ; feo:runId "aa143d6a8cf24ce0b360dcaa264f9283" ; it6:realizes "ConvNeXtTinyMultiLabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_tallos_pretrained_imagenet1K_ConvNeXtTinyMultiLabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "50" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782915075499"^^ ; feo:endTime "1782925505715"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9987961e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6432789e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9693041e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9688352e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6704231e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9763834e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9760163e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6235572e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9623268e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9623268e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.001203905e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6725954e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.470717e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "10430.22e0" ] . a it6:Run ; feo:runId "ab804ccd8ad8400ab3334d390e9a2d34" ; it6:realizes "AlexNetMultiLabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_tallos_scratch_AlexNetMultiLabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781878216109"^^ ; feo:endTime "1781908984489"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9960002e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.560994e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8959262e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8917676e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6124931e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9216392e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9193469e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.526872e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.871609e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.871609e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.003999823e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.5856877e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7156886e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "30768.38e0" ] . a it6:Run ; feo:runId "aed3d0ffb3de4298b2d9800213927c94" ; it6:realizes "MLPMixerMultilabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_tallos_pretrained_imagenet1K_MLPMixerMultilabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "38" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782952050282"^^ ; feo:endTime "1782960429285"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9983157e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6174787e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9568545e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9560455e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6464053e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9684415e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9676235e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.597443e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9455416e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9455416e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.001684301e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6382328e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.62086e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "8379.003e0" ] . a it6:Run ; feo:runId "b286d7fc171147608897c0fcfe21bf59" ; it6:realizes "AlexNetMultiLabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_tallos_pretrained_imagenet1K_AlexNetMultiLabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "55" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782903596008"^^ ; feo:endTime "1782914818394"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9973371e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6037346e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9313217e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9294346e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6437198e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9492123e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9478622e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5755985e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.914093e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.914093e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.002662933e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.624653e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7156886e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "11222.39e0" ] . a it6:Run ; feo:runId "b3541d4bf98040109d0c18606ce29dc4" ; it6:realizes "ResNet152MultiLabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_tallos_pretrained_imagenet1K_ResNet152MultiLabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "45" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782960687238"^^ ; feo:endTime "1782970293404"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9986301e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6227904e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9648881e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9640892e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6560616e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9771248e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9764914e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5988451e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9529541e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9529541e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.001369933e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6534881e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.55958e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "9606.166e0" ] . a it6:Run ; feo:runId "bdf721b30966483b9a3ccdfb44f073b4" ; it6:realizes "VisionTransformerMultilabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_tallos_scratch_VisionTransformerMultilabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "72" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782056721860"^^ ; feo:endTime "1782075741964"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9950469e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5304362e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.871398e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8670993e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.5883391e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8943811e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8896064e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4939146e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8495665e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8495665e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.004953115e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.5506069e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86769e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "19020.1e0" ] . a it6:Run ; feo:runId "c29bbdebe8dd4200b92bd9afe4dd143f" ; it6:realizes "ConvNeXtTinyMultiLabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_tallos_scratch_ConvNeXtTinyMultiLabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "98" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781909297990"^^ ; feo:endTime "1781932404006"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9968408e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5777522e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9180416e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9152719e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6328583e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9414366e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9396747e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5409007e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8957811e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8957811e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.003159243e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.5989264e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.470717e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "23106.02e0" ] . a it6:Run ; feo:runId "d5e35e6ebf634352b78989a67607c662" ; it6:realizes "EfficientNetB0MultiLabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_tallos_pretrained_imagenet1K_EfficientNetB0MultiLabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782934615464"^^ ; feo:endTime "1782951791386"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9985551e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6308413e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9630921e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9624531e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6577884e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9719029e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.971331e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6106103e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9544397e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9544397e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.001444939e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6666799e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4021253e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "17175.92e0" ] . a it6:Run ; feo:runId "d836f16a2f2949c1af1cb3166724761e" ; it6:realizes "SwinTransformerMultilabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_tallos_pretrained_imagenet1K_SwinTransformerMultilabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "37" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783507781244"^^ ; feo:endTime "1783516776716"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9780119e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.00637864e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.0739974e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.03857464e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.04203213e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.2200348e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.2354646e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.006784422e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.04447757e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.04447757e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.02198805e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.03914279e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.721944e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "8995.472e0" ] . a it6:Run ; feo:runId "e9e33ad5094d4d708064c99a2d0807c6" ; it6:realizes "VisionTransformerMultilabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_tallos_pretrained_imagenet1K_VisionTransformerMultilabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783001060950"^^ ; feo:endTime "1783008902479"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9983153e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6321659e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9568399e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9560593e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6667006e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9685245e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9679247e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6068791e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9454338e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9454338e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.001684707e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6496235e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86769e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "7841.529e0" ] . a it6:Run ; feo:runId "ec9df1d0f5f04a21b538c274b9aaf0af" ; it6:realizes "VGG16MultiLabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_tallos_scratch_VGG16MultiLabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "94" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782035008734"^^ ; feo:endTime "1782056413187"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9982262e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6262048e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9543847e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.953307e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6612854e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.969815e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9691844e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6004053e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9394376e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9394376e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.001773802e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6570275e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.47178e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "21404.45e0" ] . a it6:Run ; feo:runId "efd0ee865d9544ea89b85758be26d9a8" ; it6:realizes "EfficientNetB0MultiLabel" ; feo:onDataset "tallos" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_tallos_scratch_EfficientNetB0MultiLabel" ; feo:experimentId "841406693045321980" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "99" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781955762357"^^ ; feo:endTime "1781978352230"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9968073e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5834429e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9171799e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9140521e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6314477e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9404802e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9385127e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5507829e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.8950062e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.8950062e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.003192692e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.6142308e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4021253e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "22589.87e0" ] . a it6:Run ; feo:runId "172dadd106cd4acc9f67fac1e0b3ae7d" ; it6:realizes "BIT" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_egy_bcd_scratch_BIT" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "18" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785234386547"^^ ; feo:endTime "1785238272601"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9706244e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8622457e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9704739e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9685624e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7783488e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9426413e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9224434e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9754709e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9736212e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8175213e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9655278e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9655278e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "3886.054e0" ] . a it6:Run ; feo:runId "25927bd1f2f84cb88707a8abdac28bfa" ; it6:realizes "BIT" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_egy_bcd_pretrained_imagenet1K_BIT" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "8" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786042873401"^^ ; feo:endTime "1786045398353"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9733047e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8835244e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9731813e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9723782e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8064559e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9477636e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9129168e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9777016e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.976546e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8579261e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9687026e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9687026e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2524.952e0" ] . a it6:Run ; feo:runId "29378e2085b747e5961517981f1fb398" ; it6:realizes "TinyCD" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_egy_bcd_scratch_TinyCD" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "32" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785266831924"^^ ; feo:endTime "1785272710739"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9663154e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8498767e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9659865e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9642367e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7619415e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9342108e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9026456e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9755103e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.973326e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8085815e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9566469e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9566469e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "5878.815e0" ] . a it6:Run ; feo:runId "344c033be53b48fbbacca7e6285ac281" ; it6:realizes "SiamCRNN" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_egy_bcd_pretrained_imagenet1K_SiamCRNN" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786058498814"^^ ; feo:endTime "1786061654662"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.979057e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9099799e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9789955e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9785203e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8444563e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9588551e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9325782e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9818795e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9812034e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8896247e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9761283e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9761283e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "3155.848e0" ] . a it6:Run ; feo:runId "40d8cd9ea06b43bcb5da53e82ce0697b" ; it6:realizes "CGNet" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_egy_bcd_scratch_CGNet" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "38" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785238284104"^^ ; feo:endTime "1785244718164"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9746513e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8943049e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9745529e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9741763e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8213639e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9503688e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9104205e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9783495e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9777123e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.879274e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9707858e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9707858e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "6434.06e0" ] . a it6:Run ; feo:runId "4b66c41046a846f8b1da430cce0ab9da" ; it6:realizes "ChangeFormerV6" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_egy_bcd_scratch_ChangeFormerV6" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785244729234"^^ ; feo:endTime "1785248293918"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9665335e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8476057e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9663649e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.96448e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7594081e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9349188e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8983088e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9712588e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9689681e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.808609e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9615201e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9615201e0" ] ; feo:hasResourceEstimate [ feo:gflops "138.7708e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "3564.684e0" ] . a it6:Run ; feo:runId "4d03fb826bd54df8b1f41dcea4504363" ; it6:realizes "SiamCRNN" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_egy_bcd_scratch_SiamCRNN" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785259915012"^^ ; feo:endTime "1785263576209"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9715351e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8735643e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9713859e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9701538e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7929155e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9443638e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9152922e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9765034e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9749728e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8394415e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9663218e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9663218e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "3661.197e0" ] . a it6:Run ; feo:runId "580e16e8c1b549d7ba7ffdec228b9265" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_egy_bcd_pretrained_imagenet1K_UnetChangeDetection" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "10" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786073838325"^^ ; feo:endTime "1786076629731"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9757169e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9029923e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9756283e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.975651e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8337614e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9524163e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9055054e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9791993e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9792455e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9004953e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9720833e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9720833e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2791.406e0" ] . a it6:Run ; feo:runId "5c79a26823db47ffb67869b1a71b18a0" ; it6:realizes "STANet" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_egy_bcd_pretrained_imagenet1K_STANet" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "8" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786061664774"^^ ; feo:endTime "1786064194478"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9720553e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8845125e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9718842e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9714157e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8074202e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9453062e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9043061e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.977869e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9770794e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8662469e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9659723e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9659723e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2529.704e0" ] . a it6:Run ; feo:runId "76154bd0f7924130b9c752035411ef25" ; it6:realizes "CSSM" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_egy_bcd_scratch_CSSM" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "10" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785248305155"^^ ; feo:endTime "1785251139229"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.953395e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.797828e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9532017e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9518132e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7004878e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9105878e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8207542e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9571707e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9547442e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.777858e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9492655e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9492655e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.776941e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2834.074e0" ] . a it6:Run ; feo:runId "796b65c87fc44ae799dca3889119f2da" ; it6:realizes "CGNet" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_egy_bcd_pretrained_imagenet1K_CGNet" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786045409449"^^ ; feo:endTime "1786045582540"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9452535e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8377118e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9442542e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9465881e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7409109e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8943955e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8165832e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9618108e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9684422e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8683233e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9273271e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9273271e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "173.091e0" ] . a it6:Run ; feo:runId "84f8772600bd43d2af9c1a0b4c7405db" ; it6:realizes "TinyCD" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_egy_bcd_pretrained_imagenet1K_TinyCD" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "59" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786064204580"^^ ; feo:endTime "1786073828141"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9656744e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8499753e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9653151e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9637486e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7618581e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9329557e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8979377e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9755244e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9734237e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8113911e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9553174e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9553174e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "9623.561e0" ] . a it6:Run ; feo:runId "98fde002164e47c2b3d46de9be5afe3d" ; it6:realizes "ChangeViT" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_egy_bcd_scratch_ChangeViT" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785251149133"^^ ; feo:endTime "1785255380555"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9705608e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8611458e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9704019e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9684493e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.776977e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9425055e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9223587e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.975669e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9737872e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8158505e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9651913e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9651913e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "4231.422e0" ] . a it6:Run ; feo:runId "a3c0670a20ca44ac8a9a3f436d12cc63" ; it6:realizes "STANet" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_egy_bcd_scratch_STANet" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785263587807"^^ ; feo:endTime "1785266821789"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.965084e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8482528e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9649099e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9636749e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7598249e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.932199e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8805341e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9697448e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9678666e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.820905e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.960123e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.960123e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "3233.982e0" ] . a it6:Run ; feo:runId "a8756d280ce9453cafaccfae511109da" ; it6:realizes "ChangeViT" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_egy_bcd_pretrained_imagenet1K_ChangeViT" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "6" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786052161280"^^ ; feo:endTime "1786054372741"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9727658e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8837667e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9725906e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9718616e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8065955e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9466437e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9125187e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9788884e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9778009e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8584061e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9663733e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9663733e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2211.461e0" ] . a it6:Run ; feo:runId "d590cd53d1d644f0b46779635fbdeaa1" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_egy_bcd_scratch_UnetChangeDetection" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785272720739"^^ ; feo:endTime "1785276350872"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9689321e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8608064e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9687826e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9674702e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7761848e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9394553e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.899227e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9734667e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9716753e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8291477e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9641433e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9641433e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "3630.133e0" ] . a it6:Run ; feo:runId "dc78b859b67044a0aed8e832442b682a" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_egy_bcd_scratch_HRNetChangeDetection" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "22" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785255390892"^^ ; feo:endTime "1785259904857"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.96546e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8498402e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.965288e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.964125e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7618536e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.932905e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8806314e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9701196e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9683258e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8235224e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9605043e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9605043e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "4513.965e0" ] . a it6:Run ; feo:runId "ef4e23fb19fa40cdb633e37ab0ddc7e0" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "egy_bcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_egy_bcd_pretrained_imagenet1K_HRNetChangeDetection" ; feo:experimentId "864020294674887661" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "19" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786054383471"^^ ; feo:endTime "1786058488579"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.978436e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9092934e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9783659e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9779882e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8433267e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9576481e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9277e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9815586e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9809708e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8923333e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.975194e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.975194e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "4105.108e0" ] . a it6:Run ; feo:runId "09ea5bd436914e48aa51383cccd6f149" ; it6:realizes "ChangeViT" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_clcd_pretrained_imagenet1K_ChangeViT" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "6" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786026863966"^^ ; feo:endTime "1786027759783"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9504714e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8079874e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.950144e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9490223e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.710055e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9050232e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8186998e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9442986e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9423439e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7987201e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9560622e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9560622e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "895.817e0" ] . a it6:Run ; feo:runId "2379e2fb6b9d4d32ba7c475130aad8a1" ; it6:realizes "BIT" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_clcd_pretrained_imagenet1K_BIT" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "23" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786021709787"^^ ; feo:endTime "1786023549905"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9509409e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.808426e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9504771e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.948801e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7104018e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9056278e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8310535e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9472727e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9445709e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7897159e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9537033e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9537033e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1840.118e0" ] . a it6:Run ; feo:runId "25bcd039693148af8026041113cb03b8" ; it6:realizes "STANet" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_clcd_scratch_STANet" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "15" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785225761311"^^ ; feo:endTime "1785227126061"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9274345e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7130295e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9263376e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9233921e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6120063e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8627829e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7365476e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9283873e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9231501e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6940976e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9242969e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9242969e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1364.75e0" ] . a it6:Run ; feo:runId "2b08dadac365438aabe1cf3577c98a4e" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_clcd_scratch_HRNetChangeDetection" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "39" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785220282639"^^ ; feo:endTime "1785223003233"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9433324e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7363918e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.942734e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.935459e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6374678e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8916715e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8320036e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9405791e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9331995e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.6884827e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9448988e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9448988e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2720.594e0" ] . a it6:Run ; feo:runId "389ac7a766b04e3aab385edcf5fb3616" ; it6:realizes "TinyCD" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_clcd_pretrained_imagenet1K_TinyCD" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "93" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786033928843"^^ ; feo:endTime "1786039488136"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9472436e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7826397e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9461801e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9427456e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6820594e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8978575e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8394304e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9530287e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.948323e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7421394e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9394292e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9394292e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "5559.293e0" ] . a it6:Run ; feo:runId "419dd15fb0c142889a5c346b1ef7b2d9" ; it6:realizes "CGNet" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_clcd_pretrained_imagenet1K_CGNet" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786023560972"^^ ; feo:endTime "1786023632886"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.809346e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.6294036e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.8025279e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8378673e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5061141e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.670185e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6181962e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.821077e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9288308e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7826513e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.7847984e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.7847984e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "71.914e0" ] . a it6:Run ; feo:runId "45ffcf91731b486eb9d1af4866fc5c52" ; it6:realizes "CSSM" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_clcd_scratch_CSSM" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785217609795"^^ ; feo:endTime "1785218926251"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9254979e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.4789333e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9250212e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8917528e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.4595701e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8605018e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4595702e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9191403e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8556994e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4999999e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9309778e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9309778e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.776941e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1316.456e0" ] . a it6:Run ; feo:runId "4c85ed9986574cacb0d0de712e45976d" ; it6:realizes "ChangeViT" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_clcd_scratch_ChangeViT" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "14" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785218936165"^^ ; feo:endTime "1785220272292"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9415358e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7652693e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9407839e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9381446e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6636821e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8881889e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7951451e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9407652e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9364505e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.74178e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9408027e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9408027e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1336.127e0" ] . a it6:Run ; feo:runId "5affbb82ddcb4c70b0cc55852fca4633" ; it6:realizes "SiamCRNN" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_clcd_pretrained_imagenet1K_SiamCRNN" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "35" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786030502017"^^ ; feo:endTime "1786032958175"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9526766e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8064676e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9522623e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9496708e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7088083e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9088747e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8453564e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9483999e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9448148e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7775309e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9561562e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9561562e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2456.158e0" ] . a it6:Run ; feo:runId "66637620d8594d37813271a059aff20b" ; it6:realizes "TinyCD" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_clcd_scratch_TinyCD" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "69" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785227137015"^^ ; feo:endTime "1785231404256"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9392468e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7634722e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9383681e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.936489e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6612069e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8838922e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7844418e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9398377e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9365289e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7456486e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9369032e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9369032e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "4267.241e0" ] . a it6:Run ; feo:runId "668d1fd0a8264b19af442cf69d84cb66" ; it6:realizes "ChangeFormerV6" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_clcd_scratch_ChangeFormerV6" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785216152870"^^ ; feo:endTime "1785217599509"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9397615e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7589586e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9387548e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9359901e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6569296e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8845785e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7923097e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9423204e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9377602e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7326818e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.935216e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.935216e0" ] ; feo:hasResourceEstimate [ feo:gflops "138.7708e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1446.639e0" ] . a it6:Run ; feo:runId "7bbc833e39e048a1ba1a6cef32217e03" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_clcd_pretrained_imagenet1K_UnetChangeDetection" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "51" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786039498277"^^ ; feo:endTime "1786042862678"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9590991e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8431358e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9588146e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9579912e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7520557e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9208875e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8537914e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9532398e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.951842e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8337422e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9644551e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9644551e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "3364.401e0" ] . a it6:Run ; feo:runId "7d73439b5474405eb55c4da2007d9c5a" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_clcd_pretrained_imagenet1K_HRNetChangeDetection" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "39" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786027770468"^^ ; feo:endTime "1786030491718"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9533434e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8149199e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9528028e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9510752e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7181757e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.90986e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8418669e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9515881e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.948876e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7927646e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9540206e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9540206e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2721.25e0" ] . a it6:Run ; feo:runId "9834763b55e6429dbe190b25f604df47" ; it6:realizes "SiamCRNN" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_clcd_scratch_SiamCRNN" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "40" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785223013274"^^ ; feo:endTime "1785225750744"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9476701e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7948328e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9470996e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9451941e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6950336e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8995149e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8194695e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9452546e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9421513e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7746429e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9489517e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9489517e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2737.47e0" ] . a it6:Run ; feo:runId "a63b3a04e1d144f18246eed7a7a36852" ; it6:realizes "BIT" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_clcd_scratch_BIT" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785213163952"^^ ; feo:endTime "1785215347556"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9450163e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7923674e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9444476e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9438709e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6919754e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8947425e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7971798e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9420883e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.940996e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7878653e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9468188e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9468188e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2183.604e0" ] . a it6:Run ; feo:runId "bca2898e404b41d69289c230eb4e2b8f" ; it6:realizes "STANet" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_clcd_pretrained_imagenet1K_STANet" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "7" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786032968499"^^ ; feo:endTime "1786033918883"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9182791e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.5913218e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9173996e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9028228e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.5197961e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8474037e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.6603452e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9154864e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8936928e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.5692383e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9193208e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9193208e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "950.384e0" ] . a it6:Run ; feo:runId "da27f438c7854b06ad0a4612901248dd" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_clcd_scratch_UnetChangeDetection" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "44" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785231414488"^^ ; feo:endTime "1785234375503"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9504004e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8032577e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9500151e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.947998e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7047675e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9047894e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8291062e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9452433e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9421095e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.782699e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9548354e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9548354e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2961.015e0" ] . a it6:Run ; feo:runId "e1e5fae8b34f40989b25352ed6d68e62" ; it6:realizes "CGNet" ; feo:onDataset "clcd" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_clcd_scratch_CGNet" ; feo:experimentId "894836411174220328" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785215358688"^^ ; feo:endTime "1785216141869"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9451713e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7602916e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9441807e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9381957e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6592745e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8942636e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8590535e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9490408e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9433405e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.7060276e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9393702e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9393702e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "783.181e0" ] . a it6:Run ; feo:runId "01c06307206442389ddde15bf8afe7cc" ; it6:realizes "ATSS" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_nasa_marine_debris_scratch_ATSS" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "33" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780371659453"^^ ; feo:endTime "1780372727103"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3215286e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.068478e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.1439601e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1109385e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1165405e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "8.663366E-4" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1165405e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2442857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2442857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2342857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1028571e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.2940397e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2240437e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.00625e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.33007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1067.65e0" ] . a it6:Run ; feo:runId "0c32bf1aa7b14c67929a10412dbf6778" ; it6:realizes "FasterRCNN" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_nasa_marine_debris_pretrained_imagenet1K_FasterRCNN" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781824206698"^^ ; feo:endTime "1781824866378"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3831456e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.1197529e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.2263179e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1569633e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1787223e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1787223e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2611428e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2611428e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2611428e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1405714e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.3198676e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2355191e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "280.3744e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "659.68e0" ] . a it6:Run ; feo:runId "1e576723939648dd80d33eb70f8d6af5" ; it6:realizes "SparseRCNN" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_nasa_marine_debris_scratch_SparseRCNN" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "3" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780380924563"^^ ; feo:endTime "1780381178812"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "3.601763E-4" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "2.73508E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.003021981e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "7.37244E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "8.609897E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "8.609897E-5" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.01142857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.01142857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.005142857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "8.571428E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.01721854e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.007650273e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.86202e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "254.249e0" ] . a it6:Run ; feo:runId "1f61e8e20c7941d9a4e3a0fac6a3c852" ; it6:realizes "DETR" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_nasa_marine_debris_scratch_DETR" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780375765201"^^ ; feo:endTime "1780376120031"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "9.612612E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "1.922522E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "1.922522E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "1.922522E-5" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "5.714286E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "5.714286E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "5.714286E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "5.714286E-4" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.001324503e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.1319e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "354.83e0" ] . a it6:Run ; feo:runId "20c215e6c8e543ed9ddeef61355d2d55" ; it6:realizes "FCOS" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_nasa_marine_debris_scratch_FCOS" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "26" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780377380452"^^ ; feo:endTime "1780377886123"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3673822e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.07662657e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.1304163e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1532237e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1363405e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1363405e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2534286e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2534286e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2534286e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1157143e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.2523179e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2765027e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.6185e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "505.671e0" ] . a it6:Run ; feo:runId "232fc54869d84045be47decb79c10b0d" ; it6:realizes "CenterNet" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_nasa_marine_debris_pretrained_imagenet1K_CenterNet" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "1" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781822061570"^^ ; feo:endTime "1781823580762"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86484e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1519.192e0" ] . a it6:Run ; feo:runId "3440ac8fbaf34ba487b74fec4c763069" ; it6:realizes "DETR" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_nasa_marine_debris_pretrained_imagenet1K_DETR" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "42" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781823595470"^^ ; feo:endTime "1781824193905"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.4051115e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0892478e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.1953322e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1457299e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1526695e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.001107682e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1526695e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3122857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3122857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3097143e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1348571e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.3450331e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.3054645e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.08125e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.1319e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "598.435e0" ] . a it6:Run ; feo:runId "4947ea89073c46eda66b4a26d7e7e8f0" ; it6:realizes "ATSS" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_nasa_marine_debris_pretrained_imagenet1K_ATSS" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781821684589"^^ ; feo:endTime "1781822048646"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.4058652e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.1063147e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.2094001e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1532373e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1659609e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1659609e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2825714e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2825714e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.282e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1488571e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.3311258e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2672131e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "45.33007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "364.057e0" ] . a it6:Run ; feo:runId "566854df609e44af9f117a20ea095b5a" ; it6:realizes "SSDLite" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_nasa_marine_debris_scratch_SSDLite" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "32" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780381566736"^^ ; feo:endTime "1780382152352"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.2267156e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.01614827e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.07727702e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.06008735e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.06069103e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.01386139e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.06069103e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.1785714e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.1785714e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.162e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.07628571e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.2350993e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1453552e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.025e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.508307e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "585.616e0" ] . a it6:Run ; feo:runId "5d32749a6985465c8a37b743b7ac2079" ; it6:realizes "NanoDetPlus" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_nasa_marine_debris_scratch_NanoDetPlus" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "58" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780377896448"^^ ; feo:endTime "1780379016640"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.2380706e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.02942559e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.05381861e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.09666526e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.06915371e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.01386139e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.06915371e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2137143e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2137143e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1871429e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.05828571e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.2145695e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2306011e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0125e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.344e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1120.192e0" ] . a it6:Run ; feo:runId "72c5ed365b4a45e7b2c496e6c1ff8cfb" ; it6:realizes "SSDLite" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_nasa_marine_debris_pretrained_imagenet1K_SSDLite" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "27" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781827142487"^^ ; feo:endTime "1781827451379"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3282523e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.05950446e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.1614651e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.08830841e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1161985e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "1.122945E-4" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1161985e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2431429e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2431429e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2222857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1182857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.3046358e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2114754e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.025e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4265438e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "308.892e0" ] . a it6:Run ; feo:runId "9be781a5996049c59fc17c3b4c58f6c2" ; it6:realizes "SparseRCNN" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_nasa_marine_debris_pretrained_imagenet1K_SparseRCNN" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "12" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781826502976"^^ ; feo:endTime "1781826867358"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3770336e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.09499522e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.1807493e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1293228e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1389785e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.04851485e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1389785e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3094286e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3094286e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2862857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1177143e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.3417219e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.3060109e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.04375e0" ] ; feo:hasResourceEstimate [ feo:gflops "58.86202e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "364.382e0" ] . a it6:Run ; feo:runId "9ccd36ae33d344ccb28e728da7b0573b" ; it6:realizes "NanoDetPlus" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_nasa_marine_debris_pretrained_imagenet1K_NanoDetPlus" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "53" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781825151134"^^ ; feo:endTime "1781825770319"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.2100662e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.01331089e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.05256321e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.07568277e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.06032345e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.006930693e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.06032345e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.202e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.202e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.18e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.06857143e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.1887417e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2300546e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.00625e0" ] ; feo:hasResourceEstimate [ feo:gflops "14.344e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "619.185e0" ] . a it6:Run ; feo:runId "c62a5c2e3ae8416bbcf47cd7472d280b" ; it6:realizes "FCOS" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_nasa_marine_debris_pretrained_imagenet1K_FCOS" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781824878243"^^ ; feo:endTime "1781825140374"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.4613563e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.09548159e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.2213019e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1677013e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1830706e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "8.984232E-4" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1830706e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.3151429e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.3151429e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.3102857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1491429e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.3543046e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.3065574e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.04375e0" ] ; feo:hasResourceEstimate [ feo:gflops "125.6185e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "262.131e0" ] . a it6:Run ; feo:runId "d83af5b582064d5d9e1d6429bf1b183b" ; it6:realizes "SSD" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_nasa_marine_debris_scratch_SSD" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780381192499"^^ ; feo:endTime "1780381556228"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.09554751e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0234638e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.002239031e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.05822084e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.03355612e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.03355612e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.1468571e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.1468571e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.1071429e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.03914286e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.1059603e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.1934426e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.42879e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "363.729e0" ] . a it6:Run ; feo:runId "d8faab4d84c44c82879bb666834c4e5c" ; it6:realizes "RetinaNet" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_nasa_marine_debris_pretrained_imagenet1K_RetinaNet" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "33" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781825781529"^^ ; feo:endTime "1781826490690"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3907266e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.07528917e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.1780964e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1501741e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1517924e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1517924e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2742857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2742857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2742857e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1434286e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.2940397e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2819672e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "128.0447e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "709.161e0" ] . a it6:Run ; feo:runId "e241476ec8924ad3abc5786ce4df53b5" ; it6:realizes "RetinaNet" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_nasa_marine_debris_scratch_RetinaNet" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "59" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780379027425"^^ ; feo:endTime "1780380911681"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3753611e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0610319e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.1584781e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1397614e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1385415e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "1.858095E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1385415e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2634286e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2634286e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.248e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1157143e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.2834437e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2693989e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.00625e0" ] ; feo:hasResourceEstimate [ feo:gflops "128.0447e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1884.256e0" ] . a it6:Run ; feo:runId "e515372db33741fb98ecdd02e42029aa" ; it6:realizes "FasterRCNN" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_nasa_marine_debris_scratch_FasterRCNN" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "50" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780376130657"^^ ; feo:endTime "1780377369417"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.3656058e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.06823111e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.1864071e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1193023e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1367629e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1367629e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.2577143e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.2577143e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.2568572e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.1305714e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.3059603e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.2404372e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "231.007e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "1238.76e0" ] . a it6:Run ; feo:runId "eb5b7fabb86b41c9abdcf8c38105aa73" ; it6:realizes "SSD" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "true"^^ ; feo:runName "object_detection_nasa_marine_debris_pretrained_imagenet1K_SSD" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1781826881763"^^ ; feo:endTime "1781827131777"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.4586977e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.08586546e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.2139054e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.1422266e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.1680015e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "6.145635E-5" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.1680015e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.302e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.302e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.296e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.132e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.3251656e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.3054645e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.04375e0" ] ; feo:hasResourceEstimate [ feo:gflops "30.42879e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "250.014e0" ] . a it6:Run ; feo:runId "fc95a4aeaddc47cdb4793fa9bdc0fa69" ; it6:realizes "CenterNet" ; feo:onDataset "nasa_marine_debris" ; it6:hasTaskType "ObjectDetection" ; feo:pretrained "false"^^ ; feo:runName "object_detection_nasa_marine_debris_scratch_CenterNet" ; feo:experimentId "903405828562991638" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "161" ; feo:maxEpochs "200" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1780372738215"^^ ; feo:endTime "1780375751394"^^ ; feo:hasEvaluationResult [ rdfs:label "classes" ; feo:value "1.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_50" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_75" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map_small" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "map" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100_per_class" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_100" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_10" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_1" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_large" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_medium" ; feo:value "0.0e0" ] ; feo:hasEvaluationResult [ rdfs:label "mar_small" ; feo:value "0.0e0" ] ; feo:hasResourceEstimate [ feo:gflops "39.86484e0" ; feo:flopsInputShape "3x480x480" ; feo:runTime "3013.179e0" ] . a it6:Run ; feo:runId "00ee53b2fe3e4fa29716cf526635c3d4" ; it6:realizes "TinyCD" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_msbc_pretrained_imagenet1K_TinyCD" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "96" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786008119741"^^ ; feo:endTime "1786010555834"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9654965e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8614731e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9652506e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9638283e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7762225e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9328351e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9022473e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.97218e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9702759e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8279327e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9584192e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9584192e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2436.093e0" ] . a it6:Run ; feo:runId "05e8f2a48de74028983b2f9bb8933de6" ; it6:realizes "BIT" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_msbc_pretrained_imagenet1K_BIT" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786001281875"^^ ; feo:endTime "1786002024611"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9837446e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9360877e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9837132e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9832904e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8849112e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9679484e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9623972e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.985617e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9852076e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.912813e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9818167e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9818167e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "742.736e0" ] . a it6:Run ; feo:runId "21a845a83aed4bf4aead2da618b8f9ed" ; it6:realizes "STANet" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_msbc_pretrained_imagenet1K_STANet" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "20" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786007148032"^^ ; feo:endTime "1786008108577"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9796111e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9198619e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.979559e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9789927e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8592092e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9599369e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9477323e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9820719e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9814249e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8954257e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9770589e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9770589e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "960.545e0" ] . a it6:Run ; feo:runId "24e6773c1ee64ad399f2877c8e4ee456" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_msbc_pretrained_imagenet1K_HRNetChangeDetection" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "27" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786004922272"^^ ; feo:endTime "1786006404500"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9848504e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9386832e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9848341e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9843301e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8892146e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9701214e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9709188e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9858905e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9855667e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9110437e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.98378e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.98378e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1482.228e0" ] . a it6:Run ; feo:runId "257944ff1c63449d917bf05de79ffc84" ; it6:realizes "BIT" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msbc_scratch_BIT" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "29" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785186837900"^^ ; feo:endTime "1785187758977"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9804315e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9211188e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9803868e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9797175e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.861256e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9615281e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9545512e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9826349e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9820063e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8926038e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9781489e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9781489e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.87808e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "921.077e0" ] . a it6:Run ; feo:runId "42804ceaefba40bc874af3467c755c7f" ; it6:realizes "CGNet" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_msbc_pretrained_imagenet1K_CGNet" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786002035891"^^ ; feo:endTime "1786002077975"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9345733e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8248914e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9328728e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9343617e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7223426e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8741907e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.823939e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9577664e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9616114e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8286729e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9092403e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9092403e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "42.084e0" ] . a it6:Run ; feo:runId "52b6f5c7fc9d467e9f83c31b0494f609" ; it6:realizes "TinyCD" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msbc_scratch_TinyCD" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "85" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785197149250"^^ ; feo:endTime "1785199353087"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9673555e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8648341e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9671432e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9652671e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7808567e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9363768e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.921086e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9734758e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9715772e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8220229e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9608924e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9608924e0" ] ; feo:hasResourceEstimate [ feo:gflops "1.456084e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2203.837e0" ] . a it6:Run ; feo:runId "57eff75c45af42d4b5b1d68ca72e9987" ; it6:realizes "CGNet" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msbc_scratch_CGNet" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "41" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785187771574"^^ ; feo:endTime "1785189341821"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9836241e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9358724e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.983591e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.983224e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8845599e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9677118e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.958595e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9855832e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9851704e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9154168e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9816068e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9816068e0" ] ; feo:hasResourceEstimate [ feo:gflops "87.55114e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1570.247e0" ] . a it6:Run ; feo:runId "5e009500fa81488d8b858d54e939762c" ; it6:realizes "CSSM" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msbc_scratch_CSSM" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "7" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785190545728"^^ ; feo:endTime "1785191506674"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9400846e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.7558009e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9398716e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9371589e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.6553978e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.8865639e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7850929e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9432243e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9386152e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.732238e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9365427e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9365427e0" ] ; feo:hasResourceEstimate [ feo:gflops "2.776941e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "960.946e0" ] . a it6:Run ; feo:runId "783f6cc6be5b4a91a8ce00f68dd45418" ; it6:realizes "HRNetChangeDetection" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msbc_scratch_HRNetChangeDetection" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "46" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785192694096"^^ ; feo:endTime "1785194950103"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9735377e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8913904e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9734601e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9722395e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8172346e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9482925e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9348432e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9763224e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9751032e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8563848e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9706145e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9706145e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.554703e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "2256.007e0" ] . a it6:Run ; feo:runId "800a2093426d418882a538f83853e174" ; it6:realizes "SiamCRNN" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_msbc_pretrained_imagenet1K_SiamCRNN" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786006414815"^^ ; feo:endTime "1786007137584"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9847846e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9423008e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9847601e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9845705e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8950218e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9699778e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9554916e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9863472e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9860724e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.929871e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9831782e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9831782e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "722.769e0" ] . a it6:Run ; feo:runId "803b40ff769347ebab99b8647ede6faa" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_msbc_pretrained_imagenet1K_UnetChangeDetection" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786010566186"^^ ; feo:endTime "1786011220777"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9850985e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9418192e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9850818e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9847764e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8942911e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9706022e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9620112e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9861867e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9858474e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9234825e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9839794e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9839794e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "654.591e0" ] . a it6:Run ; feo:runId "8df1c14cce234960ba47c1cadd2968be" ; it6:realizes "UnetChangeDetection" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msbc_scratch_UnetChangeDetection" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "40" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785199363229"^^ ; feo:endTime "1785200513849"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9815214e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9266498e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9814921e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9809834e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8698553e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9636569e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9532946e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9830468e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.982499e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9032261e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9799423e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9799423e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.37336e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1150.62e0" ] . a it6:Run ; feo:runId "9453849b949746f78880f8536348787b" ; it6:realizes "ChangeViT" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "true"^^ ; feo:runName "change_detection_msbc_pretrained_imagenet1K_ChangeViT" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "13" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1786004156378"^^ ; feo:endTime "1786004911456"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9801798e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9293524e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9801157e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9801433e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8737758e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9610068e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9310784e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9832975e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9833545e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9276384e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9769544e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9769544e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "755.078e0" ] . a it6:Run ; feo:runId "9f9dbb49556f4da7a3f6a78603dc281a" ; it6:realizes "SiamCRNN" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msbc_scratch_SiamCRNN" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "40" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785194961092"^^ ; feo:endTime "1785196112371"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9811291e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9286508e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9810846e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.980818e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8728573e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9628715e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9438812e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.983404e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9830031e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9144195e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9787761e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9787761e0" ] ; feo:hasResourceEstimate [ feo:gflops "65.48724e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1151.279e0" ] . a it6:Run ; feo:runId "a3a83cf8875049bc8924e843b2f53372" ; it6:realizes "ChangeViT" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msbc_scratch_ChangeViT" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "26" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785191516951"^^ ; feo:endTime "1785192683058"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9791933e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9233397e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9791244e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9789479e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8643748e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9591026e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9342176e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9823758e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.982071e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9129075e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9758945e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9758945e0" ] ; feo:hasResourceEstimate [ feo:gflops "26.36231e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1166.107e0" ] . a it6:Run ; feo:runId "a9c1fcf9244c4232959b218e49791403" ; it6:realizes "STANet" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msbc_scratch_STANet" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "22" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785196122886"^^ ; feo:endTime "1785197138459"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9677419e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8699339e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9676151e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9662778e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.7875162e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.937262e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9083309e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9714322e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9697212e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.8383925e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9638279e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9638279e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.14843e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1015.573e0" ] . a it6:Run ; feo:runId "afd091de1964401ba8c5ae2e0c5c8fd0" ; it6:realizes "ChangeFormerV6" ; feo:onDataset "msbc" ; it6:hasTaskType "ChangeDetection" ; feo:pretrained "false"^^ ; feo:runName "change_detection_msbc_scratch_ChangeFormerV6" ; feo:experimentId "933845116341269939" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "16" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1785189355238"^^ ; feo:endTime "1785190533742"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9815963e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9286835e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9815484e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9811485e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.8729843e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.9637654e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9512629e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9841111e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9836165e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9083157e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.978999e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.978999e0" ] ; feo:hasResourceEstimate [ feo:gflops "138.7708e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "1178.504e0" ] . a it6:Run ; feo:runId "0025cf0882d24e4681622c2e999e76b6" ; it6:realizes "DenseNet161MultiLabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_whdld_multilabel_pretrained_imagenet1K_DenseNet161MultiLabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783009346260"^^ ; feo:endTime "1783009589004"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8971947e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.928881e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9324222e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9325848e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.920595e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9235067e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9240931e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9376102e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9415115e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9415115e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1028053e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9753529e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784649e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "242.744e0" ] . a it6:Run ; feo:runId "0c175c6672504c37b9aefccf054860fa" ; it6:realizes "VGG16MultiLabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_whdld_multilabel_pretrained_imagenet1K_VGG16MultiLabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783010429455"^^ ; feo:endTime "1783010635128"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8841584e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9181907e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9236791e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.923373e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9155309e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9169005e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.919022e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9240662e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9305586e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9305586e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1158416e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9701385e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46622e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "205.673e0" ] . a it6:Run ; feo:runId "0fe1b952394446098001e842130d32f8" ; it6:realizes "EfficientNetB0MultiLabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_whdld_multilabel_scratch_EfficientNetB0MultiLabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "51" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782077721324"^^ ; feo:endTime "1782078207895"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.850495e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.899063e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9034938e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9044692e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8760864e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8793282e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8825257e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9248432e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9290252e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9290252e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.149505e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9353263e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4003871e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "486.571e0" ] . a it6:Run ; feo:runId "1529a281ee2845fc96a16e462b5736cf" ; it6:realizes "MLPMixerMultilabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_whdld_multilabel_scratch_MLPMixerMultilabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "87" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782078220023"^^ ; feo:endTime "1782079016961"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8689769e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9108431e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9152615e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9161313e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8882138e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8924037e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8947792e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9354461e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9393209e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9393209e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1310231e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9577481e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "796.938e0" ] . a it6:Run ; feo:runId "352211115a114cd68b2ec35724a8063a" ; it6:realizes "VisionTransformerMultilabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_whdld_multilabel_pretrained_imagenet1K_VisionTransformerMultilabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "7" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783010649786"^^ ; feo:endTime "1783010773077"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8937294e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9273093e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9304235e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9309772e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.917181e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9179279e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9206956e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9395071e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.943264e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.943264e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1062706e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9779331e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "123.291e0" ] . a it6:Run ; feo:runId "5738cd87df164501ac0956da4dca44d5" ; it6:realizes "VGG16MultiLabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_whdld_multilabel_scratch_VGG16MultiLabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "67" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782080143308"^^ ; feo:endTime "1782080830658"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8813531e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9186492e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9228292e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9237019e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9006458e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9046717e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.90709e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9382034e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9417306e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9417306e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1186469e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9549903e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.46622e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "687.35e0" ] . a it6:Run ; feo:runId "6e3960626eff41bd9c4c6b5e037aad06" ; it6:realizes "AlexNetMultiLabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_whdld_multilabel_scratch_AlexNetMultiLabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "100" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782075760564"^^ ; feo:endTime "1782076521276"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.870132e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9122266e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.916232e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9174246e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8878944e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8910973e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8945863e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9393513e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9428258e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9428258e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.129868e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9487274e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101263e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "760.712e0" ] . a it6:Run ; feo:runId "74934a704fb44dfaa5232464569ceca7" ; it6:realizes "ResNet152MultiLabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_whdld_multilabel_scratch_ResNet152MultiLabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "51" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782079031222"^^ ; feo:endTime "1782079595969"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8636964e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.907529e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.911771e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9128035e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8858962e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8897227e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8926663e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9313258e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9349398e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9349398e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1363036e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.952503e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.5568e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "564.747e0" ] . a it6:Run ; feo:runId "7b28e053a9784907afe23c9630ac6c83" ; it6:realizes "ConvNeXtTinyMultiLabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_whdld_multilabel_scratch_ConvNeXtTinyMultiLabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "73" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782076537820"^^ ; feo:endTime "1782077202872"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8641914e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9089072e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9126605e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9137617e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8817792e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8851379e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8882074e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.938911e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9419496e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9419496e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1358086e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.948055e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469674e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "665.052e0" ] . a it6:Run ; feo:runId "83e7d3f216084be89a14d962238b1af3" ; it6:realizes "VisionTransformerMultilabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_whdld_multilabel_scratch_VisionTransformerMultilabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "59" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782080851140"^^ ; feo:endTime "1782081435158"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8773927e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9167811e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9208648e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9216984e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8927374e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8961443e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8986549e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9432051e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.946988e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.946988e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1226073e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9623734e0" ] ; feo:hasResourceEstimate [ feo:gflops "16.86665e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "584.018e0" ] . a it6:Run ; feo:runId "8fcb997e3f414fb292bec6b996bc3b83" ; it6:realizes "EfficientNetB0MultiLabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_whdld_multilabel_pretrained_imagenet1K_EfficientNetB0MultiLabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "31" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783009600043"^^ ; feo:endTime "1783009857075"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9039604e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9333388e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9366703e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9371146e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9280327e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9305946e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9320414e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9393085e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9428258e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9428258e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.0960396e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9746444e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.4003871e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "257.032e0" ] . a it6:Run ; feo:runId "a133a6bfb5d6406fbaadab625a54878e" ; it6:realizes "ResNet50MultiLabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_whdld_multilabel_scratch_ResNet50MultiLabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "51" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782079610556"^^ ; feo:endTime "1782080082802"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8732673e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9131319e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9173483e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9180628e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8972807e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9016289e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9034762e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9300376e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9336254e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9336254e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1267327e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9572022e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109477e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "472.246e0" ] . a it6:Run ; feo:runId "a37831b443184cdd972f1fc823eb6edb" ; it6:realizes "MLPMixerMultilabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_whdld_multilabel_pretrained_imagenet1K_MLPMixerMultilabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "8" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783009868608"^^ ; feo:endTime "1783009995559"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9018152e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.932968e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.936193e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9366766e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9142294e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9170168e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9184176e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9529979e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9561884e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9561884e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.09818482e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9756696e0" ] ; feo:hasResourceEstimate [ feo:gflops "12.61982e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "126.951e0" ] . a it6:Run ; feo:runId "a9412a4bf16c498694cb6686063ad34a" ; it6:realizes "SwinTransformerMultilabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_whdld_multilabel_pretrained_imagenet1K_SwinTransformerMultilabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "79" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783516790968"^^ ; feo:endTime "1783517938321"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8714521e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9138692e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.917505e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9184394e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8854124e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.8880689e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.8911841e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9458168e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9489595e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9489595e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1285479e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9575279e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720901e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "1147.353e0" ] . a it6:Run ; feo:runId "b027b2e39c6d4db8bab8dd71ba8d3cdf" ; it6:realizes "AlexNetMultiLabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_whdld_multilabel_pretrained_imagenet1K_AlexNetMultiLabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "23" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783008916856"^^ ; feo:endTime "1783009119806"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8887789e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9224727e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9267391e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.92719e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9159264e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9197411e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9210553e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9295653e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9338445e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9338445e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1112211e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9676992e0" ] ; feo:hasResourceEstimate [ feo:gflops "0.7101263e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "202.95e0" ] . a it6:Run ; feo:runId "b2a9e37e8ba343c28caa3b5e3a102f12" ; it6:realizes "ResNet50MultiLabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_whdld_multilabel_pretrained_imagenet1K_ResNet50MultiLabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "11" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783010203401"^^ ; feo:endTime "1783010335024"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8975248e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9302894e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.933276e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9339764e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9136918e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9158583e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9182372e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9486407e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9513691e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9513691e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1024752e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9724871e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.109477e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "131.623e0" ] . a it6:Run ; feo:runId "b53734a7e7c24fe49752854e7dd3a5a9" ; it6:realizes "ConvNeXtTinyMultiLabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_whdld_multilabel_pretrained_imagenet1K_ConvNeXtTinyMultiLabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "21" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783009132142"^^ ; feo:endTime "1783009334782"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9024752e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9327387e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9360874e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9364963e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9226936e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.9243913e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9261521e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9441001e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9480832e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9480832e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.09752475e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9763745e0" ] ; feo:hasResourceEstimate [ feo:gflops "4.469674e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "202.64e0" ] . a it6:Run ; feo:runId "c254e2d08b434b9d8d717fe5df4cbd36" ; it6:realizes "SwinTransformerMultilabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_whdld_multilabel_scratch_SwinTransformerMultilabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "31" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783493253081"^^ ; feo:endTime "1783493784861"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.7694719e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.8592547e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.863933e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.8654897e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.7751077e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.7777973e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.7828362e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9675288e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9715225e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9715225e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.2305281e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.8711924e0" ] ; feo:hasResourceEstimate [ feo:gflops "9.720901e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "531.78e0" ] . a it6:Run ; feo:runId "c33f1765ec7c42968f95c8380508bc21" ; it6:realizes "ResNet152MultiLabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "true"^^ ; feo:runName "multilabel_classification_whdld_multilabel_pretrained_imagenet1K_ResNet152MultiLabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "11" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1783010007743"^^ ; feo:endTime "1783010191492"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8966997e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.9300314e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9331482e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9337172e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.9082413e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.910398e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9122854e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9538145e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9570646e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9570646e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1033003e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.9737817e0" ] ; feo:hasResourceEstimate [ feo:gflops "11.5568e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "183.749e0" ] . a it6:Run ; feo:runId "f20130fc21754f5b976babe369db3126" ; it6:realizes "DenseNet161MultiLabel" ; feo:onDataset "whdld_multilabel" ; it6:hasTaskType "MultilabelClassification" ; feo:pretrained "false"^^ ; feo:runName "multilabel_classification_whdld_multilabel_scratch_DenseNet161MultiLabel" ; feo:experimentId "936808181573684630" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "38" ; feo:maxEpochs "100" ; feo:batchSize "128" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1782077214653"^^ ; feo:endTime "1782077707215"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.8731023e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.912822e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.9170174e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.9176819e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.8997015e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.903658e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.9054755e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.9269006e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.9307777e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.9307777e0" ] ; feo:hasEvaluationResult [ rdfs:label "hamming_loss" ; feo:value "0.1268977e0" ] ; feo:hasEvaluationResult [ rdfs:label "mAP" ; feo:value "0.961822e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.784649e0" ; feo:flopsInputShape "3x224x224" ; feo:runTime "492.562e0" ] . a it6:Run ; feo:runId "01610c11ae7d4dba8ebb07ac46c0462b" ; it6:realizes "Unet" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whu_ohs_scratch_Unet" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "15" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764785231144"^^ ; feo:endTime "1764805476975"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9619366e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.05045249e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5018052e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.3677133e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.03296258e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3349399e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1066024e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4792409e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.3511575e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.05556824e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5265993e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5265993e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.90067e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "20245.83e0" ] . a it6:Run ; feo:runId "123789b2c8a0478dba90bc32d8566dc0" ; it6:realizes "SegFormer" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whu_ohs_pretrained_imagenet1K_SegFormer" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "17" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772878262307"^^ ; feo:endTime "1772899134508"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9649767e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3825828e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5415965e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5330314e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.2566563e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3713626e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.3944383e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.517243e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.509086e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3960532e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5683567e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5683567e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.609378e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "20872.2e0" ] . a it6:Run ; feo:runId "1f57280d0bbd4123ac794d1e33ef8c1e" ; it6:realizes "SegFormer" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whu_ohs_scratch_SegFormer" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "15" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1766120918252"^^ ; feo:endTime "1766184932493"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9619433e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.1206385e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5018937e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.4176068e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.07373778e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3350187e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2049663e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4793254e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4235772e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.1158331e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5266922e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5266922e0" ] ; feo:hasResourceEstimate [ feo:gflops "5.609378e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "64014.24e0" ] . a it6:Run ; feo:runId "218157b9101b40898ab252850e265ef1" ; it6:realizes "FPN" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whu_ohs_scratch_FPN" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "10" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764835307527"^^ ; feo:endTime "1764852831587"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9617218e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.041958e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.4989941e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.3516717e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.02773049e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3324398e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1404733e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4765562e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.3568282e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.04864659e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5236493e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5236493e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.848174e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "17524.06e0" ] . a it6:Run ; feo:runId "24e38a6b97534778af53bc635ded7c6b" ; it6:realizes "FPN" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whu_ohs_pretrained_imagenet1K_FPN" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772863541317"^^ ; feo:endTime "1772878248893"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9645945e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.2891324e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5365934e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5122223e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1932424e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3666742e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.302035e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5124648e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4865344e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3074214e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5631064e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5631064e0" ] ; feo:hasResourceEstimate [ feo:gflops "7.848174e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "14707.58e0" ] . a it6:Run ; feo:runId "2df00b128fae4b44b0fa889b2fea6d93" ; it6:realizes "PSPNet" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whu_ohs_scratch_PSPNet" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "4" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764774000890"^^ ; feo:endTime "1764785230682"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9615917e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.0519031e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.4972918e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.3584634e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.03320663e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3309303e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1265529e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4749304e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.3346745e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.05441577e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5218628e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5218628e0" ] ; feo:hasResourceEstimate [ feo:gflops "3.060413e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "11229.79e0" ] . a it6:Run ; feo:runId "3cb2af99f0c64e18883d32714e8664d3" ; it6:realizes "Unet" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whu_ohs_pretrained_imagenet1K_Unet" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "18" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772798781867"^^ ; feo:endTime "1772828230876"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.96284e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.1998499e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5136293e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.4723108e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1337559e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3455594e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2532349e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4905333e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4483702e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2174301e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5390076e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5390076e0" ] ; feo:hasResourceEstimate [ feo:gflops "10.90067e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "29449.01e0" ] . a it6:Run ; feo:runId "4ac3cc2c3fd24afba88c2fdce964f91e" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whu_ohs_pretrained_imagenet1K_UnetPlusPlus" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "16" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772828243730"^^ ; feo:endTime "1772848654006"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9630414e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.2654792e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5162661e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.483691e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1756871e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3479506e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2717185e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4930515e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4611084e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2885599e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5417747e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5417747e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.75e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "20410.28e0" ] . a it6:Run ; feo:runId "4f68e5761e634b2b8c5238853fb80ab6" ; it6:realizes "UnetPlusPlus" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whu_ohs_scratch_UnetPlusPlus" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "7" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764805477955"^^ ; feo:endTime "1764819370635"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9618203e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.03201833e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.500283e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.3453017e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.02238835e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3335849e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.06200341e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4777871e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.3064627e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.04335396e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5250018e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5250018e0" ] ; feo:hasResourceEstimate [ feo:gflops "57.75e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "13892.68e0" ] . a it6:Run ; feo:runId "6f89bda4cdd6401fafd9dd9c620c4ab2" ; it6:realizes "MANet" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whu_ohs_pretrained_imagenet1K_MANet" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "36" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772723300850"^^ ; feo:endTime "1772760472698"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9633537e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3026432e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5203529e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.4992654e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.2034681e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3516736e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.3001795e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4969545e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4700226e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3150681e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5460634e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5460634e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.8542e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "37171.85e0" ] . a it6:Run ; feo:runId "8445840b71c54a3887d66c627491eaae" ; it6:realizes "UPerNet" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whu_ohs_pretrained_imagenet1K_UPerNet" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "9" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772848665807"^^ ; feo:endTime "1772863529013"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9639362e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3549199e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5279779e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5229448e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.2355183e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3586752e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.3982049e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5042367e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5048186e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.391484e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5540651e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5540651e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.22419e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "14863.21e0" ] . a it6:Run ; feo:runId "903b7679f6db43f5bffccf9f74fde896" ; it6:realizes "MANet" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whu_ohs_scratch_MANet" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "65" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1768026258476"^^ ; feo:endTime "1768108314106"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.964048e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.2373584e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5294409e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.4962035e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1548145e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3600269e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2466607e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5056339e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4694908e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2484366e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5556004e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5556004e0" ] ; feo:hasResourceEstimate [ feo:gflops "18.8542e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "82055.63e0" ] . a it6:Run ; feo:runId "923d4fed442f413d9cb7ba9e24575e40" ; it6:realizes "UPerNet" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whu_ohs_scratch_UPerNet" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "10" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764819371785"^^ ; feo:endTime "1764835306774"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.959614e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.07835571e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.4714065e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.3747156e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.04788577e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3083923e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1615428e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4502091e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.3635339e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.0889951e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.4946986e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.4946986e0" ] ; feo:hasResourceEstimate [ feo:gflops "19.22419e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "15934.99e0" ] . a it6:Run ; feo:runId "9f16621cd1dc4629ab9a0a471a226592" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whu_ohs_scratch_DeepLabV3Plus" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "8" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764728803415"^^ ; feo:endTime "1764744376590"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9616837e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.0445846e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.4984951e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.3524343e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.029652e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.331997e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.1121718e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4760797e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.3009361e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.05272887e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5231257e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5231257e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.61324e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "15573.17e0" ] . a it6:Run ; feo:runId "b3107a4ca93b4d209314738f89fe05d7" ; it6:realizes "DeepLabV3Plus" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whu_ohs_pretrained_imagenet1K_DeepLabV3Plus" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "8" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772670983067"^^ ; feo:endTime "1772685560159"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9621784e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.2624542e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5049709e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.481541e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1698385e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3377666e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2921055e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4822643e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4604778e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2761204e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5299214e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5299214e0" ] ; feo:hasResourceEstimate [ feo:gflops "15.61324e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "14577.09e0" ] . a it6:Run ; feo:runId "bc456f1bb9cd46f1b59f1c196693d8ea" ; it6:realizes "FCN" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whu_ohs_pretrained_imagenet1K_FCN" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "11" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772685572145"^^ ; feo:endTime "1772704172165"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9633003e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3712117e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5196541e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5141454e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.2480785e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3510356e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.3641852e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4962872e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4920231e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.399156e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5453301e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5453301e0" ] ; feo:hasResourceEstimate [ feo:gflops "56.54289e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "18600.02e0" ] . a it6:Run ; feo:runId "ddd8c926f4a74649b02f2b953fad5b2a" ; it6:realizes "FCN" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whu_ohs_scratch_FCN" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "10" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764744377791"^^ ; feo:endTime "1764760646911"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9614168e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.2217557e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.4950028e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.4615779e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.1365226e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3289061e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.2494001e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4727443e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.4410236e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.2200303e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5194607e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5194607e0" ] ; feo:hasResourceEstimate [ feo:gflops "54.11543e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "16269.12e0" ] . a it6:Run ; feo:runId "eba3d5a08a904af790845629410ef427" ; it6:realizes "PSPNet" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whu_ohs_pretrained_imagenet1K_PSPNet" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "28" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772760486945"^^ ; feo:endTime "1772798769665"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9650413e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.3937384e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5424417e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5336427e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.2620715e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3721578e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.4045808e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5180501e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5094862e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.3975079e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5692436e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5692436e0" ] ; feo:hasResourceEstimate [ feo:gflops "3.060413e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "38282.72e0" ] . a it6:Run ; feo:runId "ed326bc38ef641068b2a005f35b76486" ; it6:realizes "HRNet" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "true"^^ ; feo:runName "semantic_segmentation_whu_ohs_pretrained_imagenet1K_HRNet" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "10" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1772704185141"^^ ; feo:endTime "1772723287029"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.9649995e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.378038e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.5418944e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.5321393e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.2573033e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3716428e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.3694662e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.5175275e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.5176268e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.4281258e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5686693e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5686693e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.75503e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "19101.89e0" ] . a it6:Run ; feo:runId "fbc9d0a5e8ba400ca2bdf13818b2867a" ; it6:realizes "HRNet" ; feo:onDataset "whu_ohs" ; it6:hasTaskType "SemanticSegmentation" ; feo:pretrained "false"^^ ; feo:runName "semantic_segmentation_whu_ohs_scratch_HRNet" ; feo:experimentId "959177096497264730" ; feo:runStatus "3" ; feo:lifecycleStage "active" ; feo:artifactCount "2" ; feo:bestEpoch "7" ; feo:maxEpochs "100" ; feo:batchSize "32" ; feo:numWorkers "4" ; feo:learningRate "1.0E-4"^^ ; feo:startTime "1764760648300"^^ ; feo:endTime "1764773999760"^^ ; feo:hasEvaluationResult [ rdfs:label "Accuracy" ; feo:value "0.961404e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Macro" ; feo:value "0.0489013e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Micro" ; feo:value "0.4948344e0" ] ; feo:hasEvaluationResult [ rdfs:label "F1_score Weighted" ; feo:value "0.3496488e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU mean" ; feo:value "0.03176145e0" ] ; feo:hasEvaluationResult [ rdfs:label "IOU" ; feo:value "0.3287575e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Macro" ; feo:value "0.08179192e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Micro" ; feo:value "0.4725836e0" ] ; feo:hasEvaluationResult [ rdfs:label "Precision Weighted" ; feo:value "0.3116962e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Macro" ; feo:value "0.05853937e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Micro" ; feo:value "0.5192841e0" ] ; feo:hasEvaluationResult [ rdfs:label "Recall Weighted" ; feo:value "0.5192841e0" ] ; feo:hasResourceEstimate [ feo:gflops "53.75503e0" ; feo:flopsInputShape "3x256x256" ; feo:runTime "13351.46e0" ] .