FYP-eVision / keras-retinanet-library / validation_results_resnet101_800p.txt
validation_results_resnet101_800p.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: 0.0592
mAP using the weighted average of precisions among classes: 0.0592
mAP: 0.0592
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1324 instances of class vehicle with average precision: 0.1395
mAP using the weighted average of precisions among classes: 0.1395
mAP: 0.1395
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1324 instances of class vehicle with average precision: 0.3037
mAP using the weighted average of precisions among classes: 0.3037
mAP: 0.3037
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1324 instances of class vehicle with average precision: 0.5056
mAP using the weighted average of precisions among classes: 0.5056
mAP: 0.5056
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1324 instances of class vehicle with average precision: 0.5313
mAP using the weighted average of precisions among classes: 0.5313
mAP: 0.5313
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1324 instances of class vehicle with average precision: 0.5964
mAP using the weighted average of precisions among classes: 0.5964
mAP: 0.5964
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1324 instances of class vehicle with average precision: 0.6017
mAP using the weighted average of precisions among classes: 0.6017
mAP: 0.6017
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1324 instances of class vehicle with average precision: 0.6205
mAP using the weighted average of precisions among classes: 0.6205
mAP: 0.6205
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1324 instances of class vehicle with average precision: 0.6742
mAP using the weighted average of precisions among classes: 0.6742
mAP: 0.6742
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1324 instances of class vehicle with average precision: 0.6929
mAP using the weighted average of precisions among classes: 0.6929
mAP: 0.6929
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1324 instances of class vehicle with average precision: 0.7083
mAP using the weighted average of precisions among classes: 0.7083
mAP: 0.7083
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1324 instances of class vehicle with average precision: 0.6791
mAP using the weighted average of precisions among classes: 0.6791
mAP: 0.6791
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1324 instances of class vehicle with average precision: 0.6791
mAP using the weighted average of precisions among classes: 0.6791
mAP: 0.6791
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1324 instances of class vehicle with average precision: 0.6890
mAP using the weighted average of precisions among classes: 0.6890
mAP: 0.6890
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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: 0.6909
mAP using the weighted average of precisions among classes: 0.6909
mAP: 0.6909
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1324 instances of class vehicle with average precision: 0.7172
mAP using the weighted average of precisions among classes: 0.7172
mAP: 0.7172
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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: 0.7073
mAP using the weighted average of precisions among classes: 0.7073
mAP: 0.7073
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1324 instances of class vehicle with average precision: 0.7328
mAP using the weighted average of precisions among classes: 0.7328
mAP: 0.7328
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1324 instances of class vehicle with average precision: 0.7190
mAP using the weighted average of precisions among classes: 0.7190
mAP: 0.7190
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1324 instances of class vehicle with average precision: 0.7265
mAP using the weighted average of precisions among classes: 0.7265
mAP: 0.7265
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1324 instances of class vehicle with average precision: 0.7352
mAP using the weighted average of precisions among classes: 0.7352
mAP: 0.7352
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1324 instances of class vehicle with average precision: 0.7361
mAP using the weighted average of precisions among classes: 0.7361
mAP: 0.7361
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1324 instances of class vehicle with average precision: 0.7294
mAP using the weighted average of precisions among classes: 0.7294
mAP: 0.7294
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1324 instances of class vehicle with average precision: 0.7331
mAP using the weighted average of precisions among classes: 0.7331
mAP: 0.7331
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1324 instances of class vehicle with average precision: 0.7349
mAP using the weighted average of precisions among classes: 0.7349
mAP: 0.7349
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1324 instances of class vehicle with average precision: 0.7386
mAP using the weighted average of precisions among classes: 0.7386
mAP: 0.7386
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1324 instances of class vehicle with average precision: 0.7386
mAP using the weighted average of precisions among classes: 0.7386
mAP: 0.7386
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1324 instances of class vehicle with average precision: 0.7365
mAP using the weighted average of precisions among classes: 0.7365
mAP: 0.7365
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1324 instances of class vehicle with average precision: 0.7438
mAP using the weighted average of precisions among classes: 0.7438
mAP: 0.7438
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1324 instances of class vehicle with average precision: 0.7446
mAP using the weighted average of precisions among classes: 0.7446
mAP: 0.7446
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1324 instances of class vehicle with average precision: 0.7409
mAP using the weighted average of precisions among classes: 0.7409
mAP: 0.7409
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1324 instances of class vehicle with average precision: 0.7366
mAP using the weighted average of precisions among classes: 0.7366
mAP: 0.7366
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1324 instances of class vehicle with average precision: 0.7462
mAP using the weighted average of precisions among classes: 0.7462
mAP: 0.7462
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1324 instances of class vehicle with average precision: 0.7433
mAP using the weighted average of precisions among classes: 0.7433
mAP: 0.7433
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1324 instances of class vehicle with average precision: 0.7462
mAP using the weighted average of precisions among classes: 0.7462
mAP: 0.7462
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1324 instances of class vehicle with average precision: 0.7469
mAP using the weighted average of precisions among classes: 0.7469
mAP: 0.7469
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1324 instances of class vehicle with average precision: 0.7484
mAP using the weighted average of precisions among classes: 0.7484
mAP: 0.7484
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1324 instances of class vehicle with average precision: 0.7490
mAP using the weighted average of precisions among classes: 0.7490
mAP: 0.7490
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1324 instances of class vehicle with average precision: 0.7483
mAP using the weighted average of precisions among classes: 0.7483
mAP: 0.7483
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1324 instances of class vehicle with average precision: 0.7432
mAP using the weighted average of precisions among classes: 0.7432
mAP: 0.7432
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1324 instances of class vehicle with average precision: 0.7491
mAP using the weighted average of precisions among classes: 0.7491
mAP: 0.7491
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1324 instances of class vehicle with average precision: 0.7492
mAP using the weighted average of precisions among classes: 0.7492
mAP: 0.7492
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1324 instances of class vehicle with average precision: 0.7468
mAP using the weighted average of precisions among classes: 0.7468
mAP: 0.7468
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1324 instances of class vehicle with average precision: 0.7490
mAP using the weighted average of precisions among classes: 0.7490
mAP: 0.7490
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1324 instances of class vehicle with average precision: 0.7490
mAP using the weighted average of precisions among classes: 0.7490
mAP: 0.7490
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1324 instances of class vehicle with average precision: 0.7511
mAP using the weighted average of precisions among classes: 0.7511
mAP: 0.7511
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1324 instances of class vehicle with average precision: 0.7484
mAP using the weighted average of precisions among classes: 0.7484
mAP: 0.7484
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1324 instances of class vehicle with average precision: 0.7485
mAP using the weighted average of precisions among classes: 0.7485
mAP: 0.7485
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1324 instances of class vehicle with average precision: 0.7512
mAP using the weighted average of precisions among classes: 0.7512
mAP: 0.7512
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1324 instances of class vehicle with average precision: 0.7492
mAP using the weighted average of precisions among classes: 0.7492
mAP: 0.7492

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Validations completed