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Version 1

Egyptian Sign Language

Published:6 June 2025|Version 1|DOI:10.17632/39tbt2jd7r.1
Contributors:
, Ahmed Metwalli,

Description

This dataset contains raw video recordings of 55 commonly used Egyptian Sign Language (ESL) words, captured using a high-resolution camera for machine learning and computer vision research. Each video demonstrates a single ESL sign performed by a native signer under consistent lighting and background conditions. The goal of this dataset is to support the development and benchmarking of vision-based sign language recognition systems, especially those targeting Arabic-speaking communities. 📚 Key Features: 55 distinct ESL classes, representing everyday words and phrases frequently used in Egyptian culture. 10 video samples per class, totaling 550 labeled videos. Filmed using a Logitech HD Webcam at 720p resolution and 30 FPS. The dataset includes natural signer variations (slight movement differences), supporting real-world model training.

Institutions

Institutions

Arab Academy for Science Technology and Maritime Transport

Categories

Image Processing, Sign Language, Egypt

Licence

Creative Commons Attribution 4.0 International

Version 2

Egyptian Sign Language

Published:30 June 2025|Version 2|DOI:10.17632/39tbt2jd7r.2
Contributor:

Description

This dataset contains raw video recordings of 55 commonly used Egyptian Sign Language (ESL) words, captured using a high-resolution camera for machine learning and computer vision research. Each video demonstrates a single ESL sign performed by a native signer under consistent lighting and background conditions. The goal of this dataset is to support the development and benchmarking of vision-based sign language recognition systems, especially those targeting Arabic-speaking communities. 📚 Key Features: 55 distinct ESL classes, representing everyday words and phrases frequently used in Egyptian culture. 10 video samples per class, totaling 550 labeled videos. Filmed using a Logitech HD Webcam at 720p resolution and 30 FPS. The dataset includes natural signer variations (slight movement differences), supporting real-world model training.

Institutions

Institutions

Arab Academy for Science Technology and Maritime Transport

Categories

Image Processing, Sign Language, Egypt

Licence

Creative Commons Attribution 4.0 International