bochen123/ego4d-hand-mano
Dataset summary Per-frame 3D hand annotations and text captions for 1,302,538 egocentric video clips drawn from 3,320 Ego4D videos. Every clip is 121 frames at 30 fps (4.03 s) at a 540-pixel short side. This is the annotation release accompanying Controllable Egocentric Video Generation via Occlusion-Aware Sparse 3D Hand Joints (ECCV 2026). Each clip carries, for both hands and every frame: 21 3D joints, MANO pose parameters, root rotation and translation, 2D wrist position and… See the full description on the dataset page: https://huggingface.co/datasets/bochen123/ego4d-hand-mano.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face