mmpose/configs/animal_2d_keypoint/topdown_heatmap/ap10k/hrnet_ap10k.yml

Models:
- Config: configs/animal_2d_keypoint/topdown_heatmap/ap10k/td-hm_hrnet-w32_8xb64-210e_ap10k-256x256.py
  In Collection: HRNet
  Metadata:
    Architecture: &id001
    - HRNet
    Training Data: AP-10K
  Name: td-hm_hrnet-w32_8xb64-210e_ap10k-256x256
  Results:
  - Dataset: AP-10K
    Metrics:
      AP: 0.722
      AP@0.5: 0.935
      AP@0.75: 0.789
      AP (L): 0.729
      AP (M): 0.557
    Task: Animal 2D Keypoint
  Weights: https://download.openmmlab.com/mmpose/animal/hrnet/hrnet_w32_ap10k_256x256-18aac840_20211029.pth
- Config: configs/animal_2d_keypoint/topdown_heatmap/ap10k/td-hm_hrnet-w48_8xb64-210e_ap10k-256x256.py
  In Collection: HRNet
  Metadata:
    Architecture: *id001
    Training Data: AP-10K
  Name: td-hm_hrnet-w48_8xb64-210e_ap10k-256x256
  Results:
  - Dataset: AP-10K
    Metrics:
      AP: 0.728
      AP@0.5: 0.936
      AP@0.75: 0.802
      AP (L): 0.735
      AP (M): 0.577
    Task: Animal 2D Keypoint
  Weights: https://download.openmmlab.com/mmpose/animal/hrnet/hrnet_w48_ap10k_256x256-d95ab412_20211029.pth