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.