GPR-800

GPR-800是由上海交通大学电子信息与电气工程学院开发的大规模合成人物再识别数据集。该数据集包含800个精心设计的身份和可编辑的视觉变量，具有多样化的场景和高分辨率。数据集通过可控的合成数据引擎GPR-X生成，该引擎基于电子游戏《侠盗猎车手V》构建，允许对背景、天气、光照和视角等环境因素进行编辑。GPR-800旨在通过其高度的可控性和多样性，解决现有合成数据集在身份和多样性上的局限，为人物再识别任务提供更完整和更好的初始化参数。

GPR-800 is a large-scale synthetic person re-identification dataset developed by the School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University. This dataset includes 800 meticulously designed identities and editable visual variables, featuring diverse scenarios and high-resolution imagery. The dataset is generated via the controllable synthetic data engine GPR-X, which is built on the video game *Grand Theft Auto V* and enables editing of environmental factors such as background, weather, lighting, and viewing angles. GPR-800 aims to address the limitations of existing synthetic datasets in terms of identity coverage and diversity with its high degree of controllability and rich variety, providing more comprehensive and optimized initialization parameters for the person re-identification task.