ISL Hand Gesture Dataset

Description

The custom Indian Sign Language (ISL) dataset comprises 26 unique signs, collected using an RGB camera. Each sign class in the dataset is represented by a total of 550 images, providing a comprehensive and balanced representation of the gestures. The dataset serves as a valuable resource for training and evaluating machine learning models for sign language recognition tasks, offering a diverse range of visual data to support the development of accurate and robust sign language recognition systems.

Institutions

• National Institute of Technology Rourkela Department of Computer Science and Engineering

Categories

Funders

• Science and Engineering Research Board

  India

Licence