FYP-eVision / keras-retinanet-library / validation_results_resnet50_400p.txt
validation_results_resnet50_400p.txt
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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: 0.0004
mAP using the weighted average of precisions among classes: 0.0004
mAP: 0.0004
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1324 instances of class vehicle with average precision: 0.0008
mAP using the weighted average of precisions among classes: 0.0008
mAP: 0.0008
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1324 instances of class vehicle with average precision: 0.0704
mAP using the weighted average of precisions among classes: 0.0704
mAP: 0.0704
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1324 instances of class vehicle with average precision: 0.0453
mAP using the weighted average of precisions among classes: 0.0453
mAP: 0.0453
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1324 instances of class vehicle with average precision: 0.1279
mAP using the weighted average of precisions among classes: 0.1279
mAP: 0.1279
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1324 instances of class vehicle with average precision: 0.2221
mAP using the weighted average of precisions among classes: 0.2221
mAP: 0.2221
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1324 instances of class vehicle with average precision: 0.4123
mAP using the weighted average of precisions among classes: 0.4123
mAP: 0.4123
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1324 instances of class vehicle with average precision: 0.2797
mAP using the weighted average of precisions among classes: 0.2797
mAP: 0.2797
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1324 instances of class vehicle with average precision: 0.4198
mAP using the weighted average of precisions among classes: 0.4198
mAP: 0.4198
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1324 instances of class vehicle with average precision: 0.4584
mAP using the weighted average of precisions among classes: 0.4584
mAP: 0.4584
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1324 instances of class vehicle with average precision: 0.4531
mAP using the weighted average of precisions among classes: 0.4531
mAP: 0.4531
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1324 instances of class vehicle with average precision: 0.4450
mAP using the weighted average of precisions among classes: 0.4450
mAP: 0.4450
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1324 instances of class vehicle with average precision: 0.5612
mAP using the weighted average of precisions among classes: 0.5612
mAP: 0.5612
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1324 instances of class vehicle with average precision: 0.6125
mAP using the weighted average of precisions among classes: 0.6125
mAP: 0.6125
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1324 instances of class vehicle with average precision: 0.5974
mAP using the weighted average of precisions among classes: 0.5974
mAP: 0.5974
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1324 instances of class vehicle with average precision: 0.5886
mAP using the weighted average of precisions among classes: 0.5886
mAP: 0.5886
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1324 instances of class vehicle with average precision: 0.6295
mAP using the weighted average of precisions among classes: 0.6295
mAP: 0.6295
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1324 instances of class vehicle with average precision: 0.5903
mAP using the weighted average of precisions among classes: 0.5903
mAP: 0.5903
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1324 instances of class vehicle with average precision: 0.6321
mAP using the weighted average of precisions among classes: 0.6321
mAP: 0.6321
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1324 instances of class vehicle with average precision: 0.6422
mAP using the weighted average of precisions among classes: 0.6422
mAP: 0.6422
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1324 instances of class vehicle with average precision: 0.6449
mAP using the weighted average of precisions among classes: 0.6449
mAP: 0.6449
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1324 instances of class vehicle with average precision: 0.6676
mAP using the weighted average of precisions among classes: 0.6676
mAP: 0.6676
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1324 instances of class vehicle with average precision: 0.6627
mAP using the weighted average of precisions among classes: 0.6627
mAP: 0.6627
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1324 instances of class vehicle with average precision: 0.6760
mAP using the weighted average of precisions among classes: 0.6760
mAP: 0.6760
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1324 instances of class vehicle with average precision: 0.6604
mAP using the weighted average of precisions among classes: 0.6604
mAP: 0.6604
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1324 instances of class vehicle with average precision: 0.6604
mAP using the weighted average of precisions among classes: 0.6604
mAP: 0.6604
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1324 instances of class vehicle with average precision: 0.6744
mAP using the weighted average of precisions among classes: 0.6744
mAP: 0.6744
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1324 instances of class vehicle with average precision: 0.6697
mAP using the weighted average of precisions among classes: 0.6697
mAP: 0.6697
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1324 instances of class vehicle with average precision: 0.6735
mAP using the weighted average of precisions among classes: 0.6735
mAP: 0.6735
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1324 instances of class vehicle with average precision: 0.6762
mAP using the weighted average of precisions among classes: 0.6762
mAP: 0.6762
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1324 instances of class vehicle with average precision: 0.6740
mAP using the weighted average of precisions among classes: 0.6740
mAP: 0.6740
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1324 instances of class vehicle with average precision: 0.6768
mAP using the weighted average of precisions among classes: 0.6768
mAP: 0.6768
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1324 instances of class vehicle with average precision: 0.6767
mAP using the weighted average of precisions among classes: 0.6767
mAP: 0.6767
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1324 instances of class vehicle with average precision: 0.6750
mAP using the weighted average of precisions among classes: 0.6750
mAP: 0.6750
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1324 instances of class vehicle with average precision: 0.6785
mAP using the weighted average of precisions among classes: 0.6785
mAP: 0.6785
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1324 instances of class vehicle with average precision: 0.6783
mAP using the weighted average of precisions among classes: 0.6783
mAP: 0.6783
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1324 instances of class vehicle with average precision: 0.6810
mAP using the weighted average of precisions among classes: 0.6810
mAP: 0.6810
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1324 instances of class vehicle with average precision: 0.6806
mAP using the weighted average of precisions among classes: 0.6806
mAP: 0.6806
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1324 instances of class vehicle with average precision: 0.6795
mAP using the weighted average of precisions among classes: 0.6795
mAP: 0.6795
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1324 instances of class vehicle with average precision: 0.6878
mAP using the weighted average of precisions among classes: 0.6878
mAP: 0.6878
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1324 instances of class vehicle with average precision: 0.6839
mAP using the weighted average of precisions among classes: 0.6839
mAP: 0.6839
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1324 instances of class vehicle with average precision: 0.6806
mAP using the weighted average of precisions among classes: 0.6806
mAP: 0.6806
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1324 instances of class vehicle with average precision: 0.6870
mAP using the weighted average of precisions among classes: 0.6870
mAP: 0.6870
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1324 instances of class vehicle with average precision: 0.6847
mAP using the weighted average of precisions among classes: 0.6847
mAP: 0.6847
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1324 instances of class vehicle with average precision: 0.6884
mAP using the weighted average of precisions among classes: 0.6884
mAP: 0.6884
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1324 instances of class vehicle with average precision: 0.6884
mAP using the weighted average of precisions among classes: 0.6884
mAP: 0.6884
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1324 instances of class vehicle with average precision: 0.6877
mAP using the weighted average of precisions among classes: 0.6877
mAP: 0.6877
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Validations completed