CoolFace
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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.

sourceHugging Facecc-by-nc-4.0updated 14d agoView on Hugging Face
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