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)