LSE-FS-UVigo Dataset
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LSE-FS-UVigo is a dataset of continuous fingerspelling in Spanish Sign Language (LSE), containing 3,010 sequences from 42 signers, recorded under both studio and in-the-wild conditions. The dataset provides frame-level 3D hand keypoints (raw and preprocessed) extracted using MediaPipe, with train/validation/test splits, signer metadata, and, for the subset with RGB distribution permissions (from the LSE-Health-UVigo subset), annotated YouTube timestamps. This resource is intended to advance research in sign language recognition and benchmarking of keypoint-based recognition methods.
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Zenodo创建时间:
2025-07-04



