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

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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Bibliographische Detailangaben
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
Format: Dataset
Sprache:eng
Schlagworte:
Hearing Disabilities
Machine Learning
Sign Language
Visual Recognition
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Beschreibung
Zusammenfassung: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:10.5281/zenodo.7771371