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Cloth-Changing Unreal Person (CCUP)

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arXiv2025-09-30 收录
下载链接:
https://github.com/yjzhao1019/CCUP
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资源简介:
该数据集是一个包含6,000个身份、1,179,976张图片、100个摄像头以及每人平均26.5套服装的自标注CC-ReID数据集,专为训练在换衣人体重识别任务中的模型而设计。该数据集还被用于预训练如TransReID和FIRe^2等模型,相较于其他合成数据集,它在性能上有所提升。该数据集的规模属于大规模,其任务针对的是换衣人体重识别(Cc-Reid)。

This is a self-annotated CC-ReID dataset containing 6,000 identities, 1,179,976 images, 100 cameras, and an average of 26.5 outfits per identity. It is specifically designed for training models for cloth-changing person re-identification tasks. Moreover, this dataset has been used to pre-train models such as TransReID and FIRe^2, and demonstrates superior performance relative to other synthetic datasets. As a large-scale dataset, it is tailored for the cloth-changing person re-identification (Cc-ReID) task.
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