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1324 instances of class vehicle with average precision: 0.0000
mAP using the weighted average of precisions among classes: 0.0000
mAP: 0.0000
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1324 instances of class vehicle with average precision: 0.0845
mAP using the weighted average of precisions among classes: 0.0845
mAP: 0.0845
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1324 instances of class vehicle with average precision: 0.1427
mAP using the weighted average of precisions among classes: 0.1427
mAP: 0.1427
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1324 instances of class vehicle with average precision: 0.2786
mAP using the weighted average of precisions among classes: 0.2786
mAP: 0.2786
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1324 instances of class vehicle with average precision: 0.4842
mAP using the weighted average of precisions among classes: 0.4842
mAP: 0.4842
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1324 instances of class vehicle with average precision: 0.2907
mAP using the weighted average of precisions among classes: 0.2907
mAP: 0.2907
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1324 instances of class vehicle with average precision: 0.5063
mAP using the weighted average of precisions among classes: 0.5063
mAP: 0.5063
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1324 instances of class vehicle with average precision: 0.5356
mAP using the weighted average of precisions among classes: 0.5356
mAP: 0.5356
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1324 instances of class vehicle with average precision: 0.6390
mAP using the weighted average of precisions among classes: 0.6390
mAP: 0.6390
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1324 instances of class vehicle with average precision: 0.5884
mAP using the weighted average of precisions among classes: 0.5884
mAP: 0.5884
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1324 instances of class vehicle with average precision: 0.6315
mAP using the weighted average of precisions among classes: 0.6315
mAP: 0.6315
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1324 instances of class vehicle with average precision: 0.6235
mAP using the weighted average of precisions among classes: 0.6235
mAP: 0.6235
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1324 instances of class vehicle with average precision: 0.6811
mAP using the weighted average of precisions among classes: 0.6811
mAP: 0.6811
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1324 instances of class vehicle with average precision: 0.6628
mAP using the weighted average of precisions among classes: 0.6628
mAP: 0.6628
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1324 instances of class vehicle with average precision: 0.6790
mAP using the weighted average of precisions among classes: 0.6790
mAP: 0.6790
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1324 instances of class vehicle with average precision: 0.6860
mAP using the weighted average of precisions among classes: 0.6860
mAP: 0.6860
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1324 instances of class vehicle with average precision: 0.6880
mAP using the weighted average of precisions among classes: 0.6880
mAP: 0.6880
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1324 instances of class vehicle with average precision: 0.6932
mAP using the weighted average of precisions among classes: 0.6932
mAP: 0.6932
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1324 instances of class vehicle with average precision: 0.7049
mAP using the weighted average of precisions among classes: 0.7049
mAP: 0.7049
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1324 instances of class vehicle with average precision: 0.7100
mAP using the weighted average of precisions among classes: 0.7100
mAP: 0.7100
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1324 instances of class vehicle with average precision: 0.7127
mAP using the weighted average of precisions among classes: 0.7127
mAP: 0.7127
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1324 instances of class vehicle with average precision: 0.7281
mAP using the weighted average of precisions among classes: 0.7281
mAP: 0.7281
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1324 instances of class vehicle with average precision: 0.7025
mAP using the weighted average of precisions among classes: 0.7025
mAP: 0.7025
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1324 instances of class vehicle with average precision: 0.7210
mAP using the weighted average of precisions among classes: 0.7210
mAP: 0.7210
Loading model, this may take a second...
1324 instances of class vehicle with average precision: 0.7298
mAP using the weighted average of precisions among classes: 0.7298
mAP: 0.7298
Loading model, this may take a second...
1324 instances of class vehicle with average precision: 0.7229
mAP using the weighted average of precisions among classes: 0.7229
mAP: 0.7229
Loading model, this may take a second...
1324 instances of class vehicle with average precision: 0.7252
mAP using the weighted average of precisions among classes: 0.7252
mAP: 0.7252
Loading model, this may take a second...
1324 instances of class vehicle with average precision: 0.7245
mAP using the weighted average of precisions among classes: 0.7245
mAP: 0.7245
resnet50_csv_01.h5
resnet50_csv_02.h5
resnet50_csv_03.h5
resnet50_csv_04.h5
resnet50_csv_05.h5
resnet50_csv_06.h5
resnet50_csv_07.h5
resnet50_csv_08.h5
resnet50_csv_09.h5
resnet50_csv_10.h5
resnet50_csv_11.h5
resnet50_csv_12.h5
resnet50_csv_13.h5
resnet50_csv_14.h5
resnet50_csv_15.h5
resnet50_csv_16.h5
resnet50_csv_17.h5
resnet50_csv_18.h5
resnet50_csv_19.h5
resnet50_csv_20.h5
resnet50_csv_21.h5
resnet50_csv_22.h5
resnet50_csv_23.h5
resnet50_csv_24.h5
resnet50_csv_25.h5
resnet50_csv_26.h5
resnet50_csv_27.h5
resnet50_csv_28.h5
Validations completed