Datasets › CCVID

CCVID (Clothes-Changing Video person re-ID)

Introduced by Xinqian Gu et al. in Clothes-Changing Person Re-identification with RGB Modality Only14 Apr 2022 archive 2025-07-28

Clothes-Changing Video person re-ID (CCVID) is a dataset constructed from the raw data of a gait recognition dataset, i.e. FVG. The reconstructed CCVID dataset contains 347,833 bounding boxes. The length of each sequence changes from 27 to 410 frames, with an average length of 122. Besides, it also provides fine-grained clothes labels including tops, bottoms, shoes, carrying status, and accessories. For the convenience of evaluation, CCVID re-divides the training and test sets to adapt to clothes-changing re-id. Specifically, 75 identities are reserved for training, and the remaining 151 identities are used for test. In the test set, 834 sequences are used as query set, and the other 1074 sequences form gallery set.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Person Re-Identification CCVID CSCI Rank-1 91.0 Colors See Colors Ignore: Clothes Changing ReID with... — 4 Compare

Papers archive 2025-07-28

4 shown of 4 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 15. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Apache License 2.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • CCVID

1 variant name, as the archive lists them.

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