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ZENODO
Dataset . 2022
License: CC BY SA
Data sources: ZENODO
ZENODO
Dataset . 2022
License: CC BY SA
Data sources: Datacite
ZENODO
Dataset . 2022
License: CC BY SA
Data sources: Datacite
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SignBD-Word: Video-Based Bangla Word-Level Sign Language Dataset

Authors: Ataher Sams;

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

Abstract

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/datasetThis 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

Keywords

VIdeo Dataset, Sign recognition, benchmark, ASL, bangla Sign language, sign language, word level sign data

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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