BdSL47: A Complete Depth-based Bangla Sign Alphabet and Digit Dataset

Published: 31 August 2023| Version 1 | DOI: 10.17632/pbb3w3f92y.1
Contributor:
Hasan Mahmud

Description

The dataset contains 47000 RGB input images of 47 signs (10 digits, 37 letters) of Bangla Sign Language. The images have been processed via MediaPipe framework, which is designed to detect predefined 21 hand key-points from a sample and provide normalized x & y coordinate values and an estimated depth value. The 3D coordinate values were stored in .csv files (1 file contains information on 100 image samples of the same sign). The dataset contains 470 .csv files in total and 47000 corresponding output images with hand key points being detected.

Files

Institutions

Islamic University of Technology, United International University

Categories

Computer Vision, Machine Learning, Sign Language, Human-Computer Interaction, Bangladesh, Gesture Recognition

Funding

Institute for Advanced Research (IAR), United International University (UIU), Dhaka, Bangladesh.

UIU-IAR-01-2022-SE-37

Licence