RGB Arabic Alphabets Sign Language Dataset
This dataset addresses the problem of limited resources for Arabic sign language recognition, benefiting researchers and developers in computer vision and assistive technology, though it is incremental as it builds on existing sign language datasets by focusing on Arabic alphabets.
The paper introduces the RGB Arabic Alphabet Sign Language (AASL) dataset, comprising 7,856 labeled RGB images of Arabic sign language alphabets, which is the first publicly available RGB dataset for this purpose, aimed at aiding the development of real-life classification models.
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.