About this document
Arabic Sign Language Dataset Comparison by yogeshat is a document available to read on EtoBox.
This study presents a comparative analysis of publicly available Arabic sign language datasets, focusing on their characteristics such as size, sample numbers, and types of images. It highlights the importance of these datasets for machine learning applications in sign language recognition, particularly for the hearing-impaired population using Arabic alphabets. The research aims to enhance the understanding and development of sign language recognition systems through improved dataset collection and evaluat
- Author
- yogeshat
- Language
- EN