FYP-eVision / keras-retinanet-library / validation_results_resnet50_600p_51+.txt
validation_results_resnet50_600p_51+.txt
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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: 0.7211
mAP using the weighted average of precisions among classes: 0.7211
mAP: 0.7211
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1324 instances of class vehicle with average precision: 0.6989
mAP using the weighted average of precisions among classes: 0.6989
mAP: 0.6989
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1324 instances of class vehicle with average precision: 0.6900
mAP using the weighted average of precisions among classes: 0.6900
mAP: 0.6900
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1324 instances of class vehicle with average precision: 0.7145
mAP using the weighted average of precisions among classes: 0.7145
mAP: 0.7145
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1324 instances of class vehicle with average precision: 0.7060
mAP using the weighted average of precisions among classes: 0.7060
mAP: 0.7060
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1324 instances of class vehicle with average precision: 0.7139
mAP using the weighted average of precisions among classes: 0.7139
mAP: 0.7139
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1324 instances of class vehicle with average precision: 0.7169
mAP using the weighted average of precisions among classes: 0.7169
mAP: 0.7169
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1324 instances of class vehicle with average precision: 0.7263
mAP using the weighted average of precisions among classes: 0.7263
mAP: 0.7263
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1324 instances of class vehicle with average precision: 0.7277
mAP using the weighted average of precisions among classes: 0.7277
mAP: 0.7277
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1324 instances of class vehicle with average precision: 0.7345
mAP using the weighted average of precisions among classes: 0.7345
mAP: 0.7345
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1324 instances of class vehicle with average precision: 0.7384
mAP using the weighted average of precisions among classes: 0.7384
mAP: 0.7384
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1324 instances of class vehicle with average precision: 0.7332
mAP using the weighted average of precisions among classes: 0.7332
mAP: 0.7332
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1324 instances of class vehicle with average precision: 0.7532
mAP using the weighted average of precisions among classes: 0.7532
mAP: 0.7532
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1324 instances of class vehicle with average precision: 0.7452
mAP using the weighted average of precisions among classes: 0.7452
mAP: 0.7452
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1324 instances of class vehicle with average precision: 0.7372
mAP using the weighted average of precisions among classes: 0.7372
mAP: 0.7372
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1324 instances of class vehicle with average precision: 0.7528
mAP using the weighted average of precisions among classes: 0.7528
mAP: 0.7528
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1324 instances of class vehicle with average precision: 0.7540
mAP using the weighted average of precisions among classes: 0.7540
mAP: 0.7540
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1324 instances of class vehicle with average precision: 0.7558
mAP using the weighted average of precisions among classes: 0.7558
mAP: 0.7558
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1324 instances of class vehicle with average precision: 0.7585
mAP using the weighted average of precisions among classes: 0.7585
mAP: 0.7585
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1324 instances of class vehicle with average precision: 0.7563
mAP using the weighted average of precisions among classes: 0.7563
mAP: 0.7563
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1324 instances of class vehicle with average precision: 0.7530
mAP using the weighted average of precisions among classes: 0.7530
mAP: 0.7530
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1324 instances of class vehicle with average precision: 0.7551
mAP using the weighted average of precisions among classes: 0.7551
mAP: 0.7551
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1324 instances of class vehicle with average precision: 0.7567
mAP using the weighted average of precisions among classes: 0.7567
mAP: 0.7567
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1324 instances of class vehicle with average precision: 0.7575
mAP using the weighted average of precisions among classes: 0.7575
mAP: 0.7575
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1324 instances of class vehicle with average precision: 0.7589
mAP using the weighted average of precisions among classes: 0.7589
mAP: 0.7589
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1324 instances of class vehicle with average precision: 0.7561
mAP using the weighted average of precisions among classes: 0.7561
mAP: 0.7561
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1324 instances of class vehicle with average precision: 0.7596
mAP using the weighted average of precisions among classes: 0.7596
mAP: 0.7596
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1324 instances of class vehicle with average precision: 0.7594
mAP using the weighted average of precisions among classes: 0.7594
mAP: 0.7594
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1324 instances of class vehicle with average precision: 0.7568
mAP using the weighted average of precisions among classes: 0.7568
mAP: 0.7568
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1324 instances of class vehicle with average precision: 0.7610
mAP using the weighted average of precisions among classes: 0.7610
mAP: 0.7610
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1324 instances of class vehicle with average precision: 0.7597
mAP using the weighted average of precisions among classes: 0.7597
mAP: 0.7597
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1324 instances of class vehicle with average precision: 0.7597
mAP using the weighted average of precisions among classes: 0.7597
mAP: 0.7597
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1324 instances of class vehicle with average precision: 0.7589
mAP using the weighted average of precisions among classes: 0.7589
mAP: 0.7589
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1324 instances of class vehicle with average precision: 0.7605
mAP using the weighted average of precisions among classes: 0.7605
mAP: 0.7605
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1324 instances of class vehicle with average precision: 0.7617
mAP using the weighted average of precisions among classes: 0.7617
mAP: 0.7617
resnet50_csv_01.h5
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Validations completed