BosphorusSign22k Dataset

BosphorusSign22k is a benchmark dataset for vision-based user-independent isolated Sign Language Recognition (SLR). The dataset is based on the BosphorusSign (Camgoz et al., 2016c) corpus which was collected with the purpose of helping both linguistic and computer science communities. It contains isolated videos of Turkish Sign Language glosses from three different domains: Health, finance and commonly used everyday signs. Videos in this dataset were performed by six native signers, which makes this dataset valuable for user independent sign language studies.

BosphorusSign22k 构成了一项基于视觉的、用户独立的手语识别（SLR）的基准数据集。该数据集源于 BosphorusSign（Camgoz 等人，2016c）语料库，该语料库的收集旨在助力语言学与计算机科学领域的两大社区。其中收录了来自三个不同领域的土耳其手语词汇视频：医疗、金融以及日常常用手语。本数据集中的视频均由六位土生土长的手语使用者表演，使得本数据集对于用户独立手语研究具有重要意义。