RGB Arabic Alphabet Sign Language (AASL) dataset

RGB Arabic Alphabet Sign Language (AASL)数据集是由沙迦大学的MLALP研究组创建的，包含7,857张标记好的RGB图像，用于阿拉伯手语字母的分类。数据集收集自200多名参与者，涵盖了不同的光照、背景、图像方向、大小和分辨率，确保了数据的多样性和实用性。创建过程中，专家团队对图像进行了监督、验证和筛选，以保证数据质量。该数据集主要用于开发实际应用中的阿拉伯手语分类模型，旨在帮助聋人和听障人士更好地沟通。

The RGB Arabic Alphabet Sign Language (AASL) dataset was created by the MLALP Research Group at the University of Sharjah. It contains 7,857 labeled RGB images for Arabic Sign Language alphabet classification. The dataset was collected from over 200 participants, covering varying lighting conditions, backgrounds, image orientations, sizes and resolutions, thus ensuring the diversity and practicality of the data. During its development, an expert team supervised, validated and filtered the images to guarantee data quality. This dataset is primarily used to develop Arabic Sign Language classification models for real-world applications, aiming to facilitate better communication between deaf and hard-of-hearing individuals.

搜集汇总

背景与挑战

背景概述

该数据集包含7,857张标记的RGB图像，专为阿拉伯手语字母分类而设计，数据来自200多名参与者，覆盖多种光照和背景条件以提升多样性。它由专家团队监督验证，旨在开发实用分类模型，帮助聋人和听障人士改善沟通。