Dataset Open Access
VisSE corpus of Spanish SignWriting
Antonio F. G. Sevilla;
José María Lahoz-Bengoechea;
Alberto Díaz Esteban
The VisSE corpus is a collection of SignWriting instances, annotated graphically and semantically to capture all the meaning, both lexical and visual, of SignWriting. The samples are handwritten, and codify signs or parts of signs from Spanish Sign Language. It also includes trained neural networks for the automatic recognition of SignWriting. It can be used with Quevedo or with third party tools thanks to its standard and open format. The VisSE corpus is the result of the VisSE Project, financed by Indra and Fundación Universia in the program for funding of research projects on Accesible Technologies.
| Name | Size | |
|---|---|---|
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Annotation_Guide.pdf
md5:26d9b9cd631f6a62394186175538813d |
234.4 kB | Download |
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Guia_Anotacion.pdf
md5:e7de09991bcf3fc35af627415c04a465 |
235.1 kB | Download |
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README.md
md5:6aa53de1d2e5c8fd0271ef1b7969872b |
2.9 kB | Download |
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visse-corpus-2.0.0.tgz
md5:d44b6cf3664cfcc44cd21d15f051b82a |
227.5 MB | Download |
| All versions | This version | |
|---|---|---|
| Views | 236 | 236 |
| Downloads | 206 | 206 |
| Data volume | 4.8 GB | 4.8 GB |
| Unique views | 194 | 194 |
| Unique downloads | 162 | 162 |
- Publication date:
- March 8, 2022
- DOI:
-
- Keyword(s):
- Sign Language SignWriting Graphical Language Machine Learning
- License (for files):
- Creative Commons Attribution 4.0 International