mdz/pytorch/yolov7/metrics_log/Yolov7_BY_8.log

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loading annotations into memory...
Done (t=0.55s)
creating index...
index created!
Loading and preparing results...
DONE (t=3.19s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=50.19s).
Accumulating evaluation results...
DONE (t=7.64s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.462
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.685
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.524
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.312
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.510
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.603
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.352
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.590
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.646
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.509
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.690
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.787