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NYU Hand

RGBD hand pose dataset

NYU Hand

The NYU Hand pose dataset contains 8252 test-set and 72757 training-set frames of captured RGBD data with ground-truth hand-pose information. For each frame, the RGBD data from 3 Kinects is provided: a frontal view and 2 side views. The training set contains samples from a single user only (Jonathan Tompson), while the test set contains samples from two users (Murphy Stein and Jonathan Tompson). A synthetic re-creation (rendering) of the hand pose is also provided for each view.

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Task
3D Object Pose
Annotation Types
Keypoint Skeleton
Items
Classes
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Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only