VDzSL: Video Dataset for Algerian Sign Language

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Anonymous
DOI: 10.5281/zenodo.18209838
Cited by: 0

Abstract

VDzSL is a high-quality dataset for Algerian Sign Language (ALGSL). With 8,300 video files comprising 415 unique common daily signs, the dataset provides high-quality 498x498 pixel videos animated by four avatars and captured from five angles. The total duration of the dataset is 3 hours, 11 minutes, and 43 seconds.

Fields of Study & Subjects

Hand Gesture Recognition Systems Hearing Impairment and Communication Human Pose and Action Recognition

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 January 2026
Document type
Dataset