BDSL 49: A Comprehensive Dataset of Bangla Sign Language

TL;DR

This paper introduces BDSL49, a large, diverse dataset of Bangla sign language images designed to facilitate the development of automated recognition systems using machine learning and computer vision.

Contribution

It provides a comprehensive, publicly available dataset of 49 Bangla sign language alphabet images with diverse backgrounds for research and model development.

Findings

Contains 29,490 images with 49 labels

Includes data from 14 different individuals

Supports development of detection and recognition models

Abstract

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.