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ut-vision/EgoHaFL

EgoHaFL: Egocentric 3D Hand Forecasting Dataset with Language Instruction EgoHaFL is a dataset designed for egocentric (first-person) 3D hand forecasting with accompanying natural language instructions. It was introduced in the paper SFHand: Learning Embodied Manipulation by Streaming Egocentric 3D Hand Forecasting. The dataset contains short video clips, text descriptions, camera intrinsics, and detailed MANO-based 3D hand annotations. The dataset supports research in 3D hand… See the full description on the dataset page: https://huggingface.co/datasets/ut-vision/EgoHaFL.

Author / organizationut-vision
License (as declared)mit
Downloads168 (as reported by Hugging Face)
Likes5
Created21 November 2025
Last updated at source18 May 2026
embodied-airoboticegocentric3d-handforecastinghand-pose
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