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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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 |
format | Dataset |
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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.</abstract><pub>Zenodo</pub><doi>10.5281/zenodo.7771371</doi><orcidid>https://orcid.org/0000-0002-2794-3936</orcidid><oa>free_for_read</oa></addata></record> |
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identifier | DOI: 10.5281/zenodo.7771371 |
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language | eng |
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source | DataCite |
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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