Accumulating evaluation results... DONE (t=0.22s). IoU metric: bbox Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.403 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.709 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.395 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.375 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.476 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.489 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.493 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.496 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.505 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.474 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.520 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.617 {'iou_bbox': {'AP-IoU=0.50:0.95-area=all-maxDets=100': 0.4028735201167772, 'AP-IoU=0.50-area=all-maxDets=100': 0.7090094189965144, 'AP-IoU=0.75-area=all-maxDets=100': 0.3949221782471761, 'AP-IoU=0.50:0.95-area=small-maxDets=100': 0.3750634155928973, 'AP-IoU=0.50:0.95-area=medium-maxDets=100': 0.4756552174248967, 'AP-IoU=0.50:0.95-area=large-maxDets=100': 0.4892177951531852, 'AR-IoU=0.50:0.95-area=all-maxDets=1': 0.49263410113784223, 'AR-IoU=0.50:0.95-area=all-maxDets=10': 0.49552525760042726, 'AR-IoU=0.50:0.95-area=all-maxDets=100': 0.5048381827704953, 'AR-IoU=0.50:0.95-area=small-maxDets=100': 0.47358878725814213, 'AR-IoU=0.50:0.95-area=medium-maxDets=100': 0.5195099370735028, 'AR-IoU=0.50:0.95-area=large-maxDets=100': 0.6165750915750915}}