DEEPOLOGY LAB
Published January 1, 2023 | Version V1
Dataset Restricted

ArabicSL-Bench: A Benchmark Image Dataset for Arabic Alphabets Sign Language

Authors/Creators

  • 1. Hearing Disability Department, Faculty of Disability Sciences and Rehabilitation, Zagazig University
  • 2. DEEPOLOGY LAB, Faculty of Computer and Informatics, Zagazig University

Contributors

  • 1. Department of Computer Science, Faculty of Computer and Informatics, Zagazig University

Description

The dataset contain a total of 28,000 RGB images belonging to a total of 28 classes. The data was collected from around 50 participants from Zagazig university. The ages of participants are ranging from 15 to 35 years. The images was captured by two mobile phones namely Realme 6, Realme 7, Realme 8. The images were resized into size of 224*224.

The inital version of data is available privately on our page: https://www.kaggle.com/datasets/deepologylab/esl-net

Notes

https://www.kaggle.com/datasets/deepologylab/esl-net

Files

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