Datasets > Modality > RGB-D > Rendered Handpose Dataset

Rendered Handpose Dataset

Introduced by Zimmermann et al. in Learning to Estimate 3D Hand Pose from Single RGB Images

Rendered Handpose Dataset contains 41258 training and 2728 testing samples. Each sample provides:

  • RGB image (320x320 pixels)
  • Depth map (320x320 pixels)
  • Segmentation masks (320x320 pixels) for the classes: background, person, three classes for each finger and one for each palm
  • 21 Keypoints for each hand with their uv coordinates in the image frame, xyz coordinates in the world frame and a visibility indicator
  • Intrinsic Camera Matrix K
Source: Learning to Estimate 3D Hand Pose from Single RGB Images