ChatDEAF is an open dataşet of International Sign Language (ISIL) gestures created by Yasin Şimşek, a Deaf Sign Language user from Türkiye.
The dataset includes labeled gesture names, visual references, and gesture desciptions in English. It aims to support AI reserch in Accessibility, sign recognition, and multimodal understanding.
this is the first version (v1) with 18 sample gestures. the dataset will be expanded in future releases.
license CC BY 4.0
concact yasodeafs@gmail.com
# ChatDEAF ISL Gesture Dataset This is the first public dataset of International Sign Language (ISL) gestures created as part of the **ChatDEAF Project**. The goal is to support AI models in understanding visual sign language and improve accessibility for the deaf community. ## Dataset Overview - **Total entries**: 18 labeled ISL gestures (Version 1) - **Fields included**: - `Word`: English meaning of the sign - `ISL Sign Description`: Written description of the gesture - `Image`: Photo filename of the gesture - **License**: [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) ## Use Cases - AI gesture recognition training
# ChatDEAF ISL Gesture Dataset
This dataset is part of the ChatDEAF project, aiming to improve accessibility in AI by providing high-quality International Sign Language (ISL) gesture examples.
## Contents
- 18 labeled gestures (photo + description)
- Fields: `Word`, `ISL Sign Description`, `Image`
- License: CC-BY-4.0 (Open Use with Attribution)
## Purpose
This dataset is designed to support gesture recognition, sign language translation models, and accessibility research for deaf communities worldwide.
## Author
Created by Yasin Şimşek, Founder of ChatDEAF Project – Istanbul, Türkiye.
## Future
More gesture photos and sign labels will be added. This is version 1.
This CSV file includes the initial proposal and labeled references for ISL (International Sign Language) gestures under the ChatDEAF Project. It defines gesture categories, meanings, and language tags for multimodal accessibility research.
This commit adds complete metadata to the ChatDEAF ISL dataset, including license, task categories, tags, and language information. The dataset supports sign language recognition and accessibility research.