Note (Head, not Face)

• Dataset

  • COCO-Hand (4,532 Images, All re-annotated manually)

• Test

  output_dark_lf.mp4

  

• Head - N

   Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.507
   Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.727
   Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.567
   Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.405
   Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.790
   Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.861
   Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.123
   Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.372
   Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.551
   Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.458
   Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.829
   Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.890
  Results saved to runs/train/gold_yolo-n1
  Epoch: 277 | mAP@0.5: 0.7271872958824573 | mAP@0.50:0.95: 0.5071289726974357
  

• Head - S

   Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.514
   Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.732
   Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.584
   Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.415
   Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.791
   Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.867
   Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.123
   Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.372
   Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.555
   Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.464
   Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.830
   Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.890
  Results saved to runs/train/gold_yolo-s1
  Epoch: 260 | mAP@0.5: 0.7321360683976307 | mAP@0.50:0.95: 0.5143983289490999
  

• Head - M

   Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.533
   Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.745
   Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.612
   Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.432
   Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.810
   Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.887
   Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.125
   Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.383
   Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.573
   Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.481
   Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.849
   Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.913
  Results saved to runs/train/gold_yolo-m1
  Epoch: 230 | mAP@0.5: 0.7454760403763417 | mAP@0.50:0.95: 0.5326515119531181
  

• Head - L

   Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.535
   Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.742
   Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.610
   Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.436
   Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.814
   Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.901
   Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.125
   Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.388
   Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.575
   Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.481
   Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.857
   Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.922
  Results saved to runs/train/gold_yolo-l1
  Epoch: 277 | mAP@0.5: 0.7423018825144603 | mAP@0.50:0.95: 0.5352949339627351