Language is a method by which individuals express their thoughts. Each language has its own set of alphabetic and numeric characters. People can communicate with one another through either oral or written communication. However, each language has a sign language counterpart. Individuals who are deaf and/or mute communicate through sign language. The Bangla language also has a sign language, which is called BDSL. The dataset is about Bangla hand sign images. The collection contains 49 individual Bangla alphabet images in sign language. BDSL49 is a dataset that consists of 29,490 images with 49 labels. Images of 14 different adult individuals, each with a distinct background and appearance, have been recorded during data collection. Several strategies have been used to eliminate noise from datasets during preparation. This dataset is available to researchers for free. They can develop automated systems using machine learning, computer vision, and deep learning techniques. In addition, two models were used in this dataset. The first is for detection, while the second is for recognition.
@article{arxiv.2208.06827,
title = {BDSL 49: A Comprehensive Dataset of Bangla Sign Language},
author = {Ayman Hasib and Saqib Sizan Khan and Jannatul Ferdous Eva and Mst. Nipa Khatun and Ashraful Haque and Nishat Shahrin and Rashik Rahman and Hasan Murad and Md. Rajibul Islam and Molla Rashied Hussein},
journal= {arXiv preprint arXiv:2208.06827},
year = {2022}
}
Comments
16 pages; 6 figures; Submitted to Data in Brief, a multidisciplinary, open-access and peer-reviewed journal for reviewing