SignBD-Word: Video-Based Bangla Word-Level Sign Language Dataset

Bangla sign language (BdSL) is a complete and independent natural sign language with its own linguistic characteristics. While there exists video datasets for well-known sign languages, there is currently no available dataset for word-level BdSL. In this study, we present a video-based word-level dataset for Bangla sign language, called SignBD-Word, consisting of 6000 sign videos representing 200 unique words. The dataset includes full and upper-body views of the signers, along with 2D body pose information. This dataset can also be used as a benchmark for testing sign video classification algorithms. Official Train Test Spllit (for both RGB and bodypose) can be found from the following link: https://sites.google.com/view/signbd-word/dataset This dataset is part of the following paper: A. Sams, A. H. Akash and S. M. M. Rahman, "SignBD-Word: Video-Based Bangla Word-Level Sign Language and Pose Translation," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-7, doi: 10.1109/ICCCNT56998.2023.10306914. Download the corresponding paper from this link: https://asnsams.github.io/Publications.html

搜集汇总

背景与挑战

背景概述

SignBD-Word是一个针对孟加拉语手语的单词级别视频数据集，包含6000个视频和200个独特单词，填补了该领域数据空白。数据集提供完整和上半身视角的视频以及2D身体姿态信息，适用于手语识别算法测试，并包含官方训练测试分割。