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ValTest

  • COCO DATASET
    • 2017 Val images [5K/1GB]
    • 2017 Train/Val annotations [241MB]

yolov7-tiny_fp16 + vitpose-b256x192_fp16.mlmodel

 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets= 20 ] = 0.589
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets= 20 ] = 0.781
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets= 20 ] = 0.677
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.536
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.674
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 20 ] = 0.638
 Average Recall     (AR) @[ IoU=0.50      | area=   all | maxDets= 20 ] = 0.806
 Average Recall     (AR) @[ IoU=0.75      | area=   all | maxDets= 20 ] = 0.716
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.573
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.731

yolov7-tiny_fp16 + vitpose_s256x192_wholebody_fp16.mlmodel

 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets= 20 ] = 0.579
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets= 20 ] = 0.772
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets= 20 ] = 0.658
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.523
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.664
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 20 ] = 0.626
 Average Recall     (AR) @[ IoU=0.50      | area=   all | maxDets= 20 ] = 0.798
 Average Recall     (AR) @[ IoU=0.75      | area=   all | maxDets= 20 ] = 0.697
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.560
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.721

yolov7-tiny_fp16 + vitpose_b256x192_wholebody_fp16.mlmodel

 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets= 20 ] = 0.600
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets= 20 ] = 0.781
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets= 20 ] = 0.680
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.543
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.689
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 20 ] = 0.647
 Average Recall     (AR) @[ IoU=0.50      | area=   all | maxDets= 20 ] = 0.807
 Average Recall     (AR) @[ IoU=0.75      | area=   all | maxDets= 20 ] = 0.718
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.578
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.745