27 Class Sign Language Dataset

本数据集名为‘27 Class Sign Language Dataset’，由土耳其安卡拉的Ayrancı Anadolu High School创建。数据集包含22801张美国手语的照片，涵盖26个基本手势类别和1个NULL类别，用于支持计算机视觉和图像分类研究。数据收集自173名志愿者，通过不同背景和光照条件拍摄，确保数据的多样性。数据集旨在解决听障人士与不了解手语的人之间的沟通问题，支持开发智能沟通技术。

This dataset, named '27 Class Sign Language Dataset', was created by Ayrancı Anadolu High School in Ankara, Turkey. It contains 22,801 images of American Sign Language (ASL), covering 26 basic gesture categories and 1 NULL category, and is intended to support computer vision and image classification research. The data was collected from 173 volunteers, captured under diverse background and lighting conditions to ensure data diversity. This dataset aims to bridge the communication gap between hearing-impaired individuals and people unfamiliar with sign language, supporting the development of intelligent communication technologies.