RGB Arabic Alphabets Sign Language Dataset

Muhammad Al-Barham, Adham Alsharkawi, Musa Al-Yaman, Mohammad Al-Fetyani, Ashraf Elnagar +2 more
1/30/2023
cs.CV

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Abstract

This paper introduces the RGB Arabic Alphabet Sign Language (AASL) dataset. AASL comprises 7,856 raw and fully labelled RGB images of the Arabic sign language alphabets, which to our best knowledge is the first publicly available RGB dataset. The dataset is aimed to help those interested in developing real-life Arabic sign language classification models. AASL was collected from more than 200 participants and with different settings such as lighting, background, image orientation, image size, and image resolution. Experts in the field supervised, validated and filtered the collected images to ensure a high-quality dataset. AASL is made available to the public on Kaggle.

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Cite this paper

@article{albarham2023arabic,
  title  = {RGB Arabic Alphabets Sign Language Dataset},
  author = {Muhammad Al-Barham and Adham Alsharkawi and Musa Al-Yaman and Mohammad Al-Fetyani and Ashraf Elnagar and Ahmad Abu SaAleek and Mohammad Al-Odat},
  year   = {2023},
  eprint = {2301.11932},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2301.11932v1}
}

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