 Evaluation results  This model achieves an AP (average precision) of **53.2**.  Accumulating evaluation results...  IoU metric: bbox  Metrics           | Metric Parameter      | Location    | Dets          | Value | ----------------  | --------------------- | ------------| ------------- | ----- | Average Precision | (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] | 0.273 | Average Precision | (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] | 0.532 | Average Precision | (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] | 0.257 | Average Precision | (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] | 0.220 | Average Precision | (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] | 0.341 | Average Precision | (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] | 0.545 | Average Recall    | (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] | 0.154 | Average Recall    | (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] | 0.361 | Average Recall    | (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] | 0.415 | Average Recall    | (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] | 0.349 | Average Recall    | (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] | 0.469 | Average Recall    | (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] | 0.584 | 