ArabicSL-Net: A Benchmark Video Dataset for Arabic Words Sign Language

The data was captured by mobile camera in four main organization namely Bank , Cafe , Hospital , and Train station. The ArabicSL-Net initially consists of 307 words recorded in approximately 30,000 videos. For each organization, we capture the most representative words that are used in those places....

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Hauptverfasser: Essam, Mohamed, Ahmed, Moemen, Ibrahim, Arwa, Adel, Aya, Ayman, Radwa, Emad, Mariam, Attia, Attia, Abdelrahamn, Saed, Tolba, Ahmed, Elmasry, Ahmed, Osama, Shorok, Mohamed, Shaymaa, Mohamed, Mahmoud, Ramadan, Rana, Mohamed, Gamal, Sobhy, Ahmed, Hawash, Hossam, Abdel-basset, Mohamed
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creator Essam, Mohamed
Ahmed, Moemen
Ibrahim, Arwa
Adel, Aya
Ayman, Radwa
Emad, Mariam
Attia, Attia
Abdelrahamn, Saed
Tolba, Ahmed
Elmasry, Ahmed
Osama, Shorok
Mohamed, Shaymaa
Mohamed, Mahmoud
Ramadan, Rana
Mohamed, Gamal
Sobhy, Ahmed
Hawash, Hossam
Abdel-basset, Mohamed
description The data was captured by mobile camera in four main organization namely Bank , Cafe , Hospital , and Train station. The ArabicSL-Net initially consists of 307 words recorded in approximately 30,000 videos. For each organization, we capture the most representative words that are used in those places. For Bank data, we have a total of 76 of words, while Cafe data contains 54 words. For Hospital, we collects videos for 102 words, and collects videos for 71 words in Train station.
doi_str_mv 10.5281/zenodo.7771371
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identifier DOI: 10.5281/zenodo.7771371
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subjects Hearing Disabilities
Machine Learning
Sign Language
Visual Recognition
title ArabicSL-Net: A Benchmark Video Dataset for Arabic Words Sign Language
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