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Dataset · Hugging Face

AplusX/EgoPoseVR

EgoPoseVR Dataset Overview The EgoPoseVR Dataset is a large-scale synthetic dataset for egocentric full-body pose estimation in virtual reality.It contains paired RGB-D observations, pose annotations, HMD tracking signals, and SMPL body parameters for temporally aligned motion clips. Total samples: 18,235 motion clips Scenes: 7 virtual scenes (Scene0 - Scene6) Train / Val / Test: 14,702 / 1,827 / 1,706 Data format: .npz (NumPy compressed archives) For more details… See the full description on the dataset page: https://huggingface.co/datasets/AplusX/EgoPoseVR.

Author / organizationAplusX
License (as declared)cc-by-4.0
Downloads1.9K (as reported by Hugging Face)
Likes1
Created14 March 2026
Last updated at source12 April 2026
egocentricpose-estimationRGBDSMPLmotion-captureVR
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