BDSL 49: A Comprehensive Dataset of Bangla Sign Language
This dataset enables researchers to develop automated systems for Bangla sign language recognition, addressing accessibility for deaf and mute individuals in the Bangla-speaking community, though it is incremental as it focuses on data collection rather than novel methods.
The authors tackled the lack of a comprehensive dataset for Bangla Sign Language (BDSL) by creating BDSL49, which includes 29,490 images across 49 labels, collected from 14 individuals with varied backgrounds and noise reduction techniques.
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.