[2301.11932] RGB Arabic Alphabets Sign Language Dataset
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Computer Science > Computer Vision and Pattern Recognition

arXiv:2301.11932 (cs)
[Submitted on 30 Jan 2023]

Title:RGB Arabic Alphabets Sign Language Dataset

Authors:Muhammad Al-Barham, Adham Alsharkawi, Musa Al-Yaman, Mohammad Al-Fetyani, Ashraf Elnagar, Ahmad Abu SaAleek, Mohammad Al-Odat
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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.
Comments: Reference for the dataset that has inspired us to create our dataset: this https URL
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2301.11932 [cs.CV]
  (or arXiv:2301.11932v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2301.11932

Submission history

From: Muhammad Al-Barham [view email]
[v1] Mon, 30 Jan 2023 10:21:09 UTC (11,103 KB)
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