ArabicSL-Net: A Benchmark Video Dataset for Arabic Words Sign Language

The data was captured by mobile camera in four main organization namely Bank , Cafe , Hospital , and Train station. The ArabicSL-Net initially consists of 307 words recorded in approximately 30,000 videos. For each organization, we capture the most representative words that are used in those places. For Bank data, we have a total of 76 of words, while Cafe data contains 54 words. For Hospital, we collects videos for 102 words, and collects videos for 71 words in Train station.

本数据集的数据由移动摄像头采集自四大类场景场所，分别为银行（Bank）、咖啡馆（Cafe）、医院（Hospital）及火车站（Train station）。阿拉伯手语网络（ArabicSL-Net）初始数据集由约30000条录制视频组成，涵盖307个手语词汇。针对上述每一类场景场所，我们采集了该场景下最具代表性的常用词汇。其中银行场景共包含76个词汇，咖啡馆场景涵盖54个词汇；医院场景采集了对应102个词汇的视频，火车站场景则采集了对应71个词汇的视频。

搜集汇总

背景与挑战

背景概述

ArabicSL-Net是一个用于阿拉伯语单词手语的基准视频数据集，包含在银行、咖啡馆、医院和火车站四个场所采集的约30,000个视频，涵盖307个单词。该数据集专注于机器学习、视觉识别和听力障碍应用，旨在为阿拉伯语手语研究提供资源。