Published July 3, 2025
| Version v1.0
Dataset
Open
LSE-FS-UVigo Dataset
Creators
-
1.
University of Vigo
Contributors
Data collector:
Data curator:
Hosting institution:
-
1.
Universidade de Vigo
Description
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.
Files
README.md
Files
(14.7 GB)
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Additional details
Related works
- Is described by
- Publication: 10.1109/ACCESS.2025.3631400 (DOI)
- Is supplemented by
- Dataset: 10.5281/ZENODO.10234464 (DOI)
Funding
- Ministerio de Ciencia, Innovación y Universidades
- TECNOLOGIAS PARA LA INCLUSION EN LENGUA DE SIGNOS: BASES DE DATOS, RECONOCIMIENTO Y TRADUCCION PID2021-123988OB-C32
- Xunta de Galicia
- ED431B 2024/36
- Xunta de Galicia
- Consellería de Educación, Ciencia, Universidades e Formación Profesional and co-funded by UE"
Dates
- Submitted
-
2025-07-03
Software
- Repository URL
- https://github.com/lruanova/fingerspelling-trainer
- Programming language
- Python
- Development Status
- Active