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 / organization | AplusX |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.9K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 14 March 2026 |
| Last updated at source | 12 April 2026 |
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.