For human bounding box detection models, please download from MMDetection Model Zoo.
MMDetection provides 80-class COCO-pretrained models, which already includes the person
category.
For hand bounding box detection, we simply train our hand box models on OneHand10K dataset using MMDetection.
Arch | Box AP | ckpt | log |
---|---|---|---|
Cascade_R-CNN X-101-64x4d-FPN-1class | 0.817 | ckpt | log |
For face bounding box detection, we train a YOLOX detector on COCO-face data using MMDetection.
Arch | Box AP | ckpt |
---|---|---|
YOLOX-s | 0.408 | ckpt |
In COCO dataset, there are 80 object categories, including 10 common animal
categories (14: 'bird', 15: 'cat', 16: 'dog', 17: 'horse', 18: 'sheep', 19: 'cow', 20: 'elephant', 21: 'bear', 22: 'zebra', 23: 'giraffe')
For animals in the categories, please download from MMDetection Model Zoo.
Arch | Box AP | ckpt | log |
---|---|---|---|
Faster_R-CNN_Res50-FPN-1class | 0.840 | ckpt | log |
Cascade_R-CNN X-101-64x4d-FPN-1class | 0.879 | ckpt | log |