FYP-eVision / keras-retinanet-library / validation_results_resnet50_600p.txt
validation_results_resnet50_600p.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: 0.0000
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: 0.0572
mAP using the weighted average of precisions among classes: 0.0572
mAP: 0.0572
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1324 instances of class vehicle with average precision: 0.1383
mAP using the weighted average of precisions among classes: 0.1383
mAP: 0.1383
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1324 instances of class vehicle with average precision: 0.3439
mAP using the weighted average of precisions among classes: 0.3439
mAP: 0.3439
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1324 instances of class vehicle with average precision: 0.3169
mAP using the weighted average of precisions among classes: 0.3169
mAP: 0.3169
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1324 instances of class vehicle with average precision: 0.4772
mAP using the weighted average of precisions among classes: 0.4772
mAP: 0.4772
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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: 0.5335
mAP using the weighted average of precisions among classes: 0.5335
mAP: 0.5335
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1324 instances of class vehicle with average precision: 0.6047
mAP using the weighted average of precisions among classes: 0.6047
mAP: 0.6047
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1324 instances of class vehicle with average precision: 0.6195
mAP using the weighted average of precisions among classes: 0.6195
mAP: 0.6195
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1324 instances of class vehicle with average precision: 0.6700
mAP using the weighted average of precisions among classes: 0.6700
mAP: 0.6700
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1324 instances of class vehicle with average precision: 0.6695
mAP using the weighted average of precisions among classes: 0.6695
mAP: 0.6695
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1324 instances of class vehicle with average precision: 0.6859
mAP using the weighted average of precisions among classes: 0.6859
mAP: 0.6859
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1324 instances of class vehicle with average precision: 0.6773
mAP using the weighted average of precisions among classes: 0.6773
mAP: 0.6773
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1324 instances of class vehicle with average precision: 0.6883
mAP using the weighted average of precisions among classes: 0.6883
mAP: 0.6883
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1324 instances of class vehicle with average precision: 0.7233
mAP using the weighted average of precisions among classes: 0.7233
mAP: 0.7233
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1324 instances of class vehicle with average precision: 0.7019
mAP using the weighted average of precisions among classes: 0.7019
mAP: 0.7019
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1324 instances of class vehicle with average precision: 0.7043
mAP using the weighted average of precisions among classes: 0.7043
mAP: 0.7043
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1324 instances of class vehicle with average precision: 0.7058
mAP using the weighted average of precisions among classes: 0.7058
mAP: 0.7058
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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: 0.7122
mAP using the weighted average of precisions among classes: 0.7122
mAP: 0.7122
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1324 instances of class vehicle with average precision: 0.7047
mAP using the weighted average of precisions among classes: 0.7047
mAP: 0.7047
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1324 instances of class vehicle with average precision: 0.7114
mAP using the weighted average of precisions among classes: 0.7114
mAP: 0.7114
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1324 instances of class vehicle with average precision: 0.7157
mAP using the weighted average of precisions among classes: 0.7157
mAP: 0.7157
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1324 instances of class vehicle with average precision: 0.7187
mAP using the weighted average of precisions among classes: 0.7187
mAP: 0.7187
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1324 instances of class vehicle with average precision: 0.7173
mAP using the weighted average of precisions among classes: 0.7173
mAP: 0.7173
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1324 instances of class vehicle with average precision: 0.7204
mAP using the weighted average of precisions among classes: 0.7204
mAP: 0.7204
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1324 instances of class vehicle with average precision: 0.7183
mAP using the weighted average of precisions among classes: 0.7183
mAP: 0.7183
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1324 instances of class vehicle with average precision: 0.7198
mAP using the weighted average of precisions among classes: 0.7198
mAP: 0.7198
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1324 instances of class vehicle with average precision: 0.7226
mAP using the weighted average of precisions among classes: 0.7226
mAP: 0.7226
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1324 instances of class vehicle with average precision: 0.7234
mAP using the weighted average of precisions among classes: 0.7234
mAP: 0.7234
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1324 instances of class vehicle with average precision: 0.7256
mAP using the weighted average of precisions among classes: 0.7256
mAP: 0.7256
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1324 instances of class vehicle with average precision: 0.7269
mAP using the weighted average of precisions among classes: 0.7269
mAP: 0.7269
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1324 instances of class vehicle with average precision: 0.7301
mAP using the weighted average of precisions among classes: 0.7301
mAP: 0.7301
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1324 instances of class vehicle with average precision: 0.7314
mAP using the weighted average of precisions among classes: 0.7314
mAP: 0.7314
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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: 0.7305
mAP using the weighted average of precisions among classes: 0.7305
mAP: 0.7305
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1324 instances of class vehicle with average precision: 0.7319
mAP using the weighted average of precisions among classes: 0.7319
mAP: 0.7319
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1324 instances of class vehicle with average precision: 0.7341
mAP using the weighted average of precisions among classes: 0.7341
mAP: 0.7341
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1324 instances of class vehicle with average precision: 0.7334
mAP using the weighted average of precisions among classes: 0.7334
mAP: 0.7334
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1324 instances of class vehicle with average precision: 0.7304
mAP using the weighted average of precisions among classes: 0.7304
mAP: 0.7304
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1324 instances of class vehicle with average precision: 0.7330
mAP using the weighted average of precisions among classes: 0.7330
mAP: 0.7330
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1324 instances of class vehicle with average precision: 0.7355
mAP using the weighted average of precisions among classes: 0.7355
mAP: 0.7355
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1324 instances of class vehicle with average precision: 0.7354
mAP using the weighted average of precisions among classes: 0.7354
mAP: 0.7354
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1324 instances of class vehicle with average precision: 0.7354
mAP using the weighted average of precisions among classes: 0.7354
mAP: 0.7354
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1324 instances of class vehicle with average precision: 0.7368
mAP using the weighted average of precisions among classes: 0.7368
mAP: 0.7368
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1324 instances of class vehicle with average precision: 0.7357
mAP using the weighted average of precisions among classes: 0.7357
mAP: 0.7357
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1324 instances of class vehicle with average precision: 0.7371
mAP using the weighted average of precisions among classes: 0.7371
mAP: 0.7371
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1324 instances of class vehicle with average precision: 0.7374
mAP using the weighted average of precisions among classes: 0.7374
mAP: 0.7374
resnet50_csv_01.h5
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Validations completed