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 / organization | ut-vision |
|---|---|
| License (as declared) | mit |
| Downloads | 168 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 21 November 2025 |
| Last updated at source | 18 May 2026 |
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