Home › Datasets › task › Generalizable Person Re-identification
Generalizable Person Re-identification datasets
archive 2025-07-28
11 datasets carry the task tag "Generalizable Person Re-identification" (the task itself: Generalizable Person Re-identification), ordered by the archive's paper count. Page 1 of 1: 11 shown of 11. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Generalizable Person Re-identification datasets 1–11 of 11
Market-1501 is a large-scale public benchmark dataset for person re-identification.
873 papers · 9 benchmarks
CUHK03 (Chinese University of Hong Kong Re-identification)
The CUHK03 consists of 14,097 images of 1,467 different identities, where 6 campus cameras were deployed for image collection and each identity is captured by 2 campus cameras.
419 papers · 8 benchmarks
The DukeMTMC-reID (Duke Multi-Tracking Multi-Camera ReIDentification) dataset is a subset of the DukeMTMC for image-based person re-ID.
344 papers · 7 benchmarks
MSMT17 (Multi Scene Multi Time dataset for person re-id)
MSMT17 is a multi-scene multi-time person re-identification dataset.
275 papers · 6 benchmarks
Market-1501-C is an evaluation set that consists of algorithmically generated corruptions applied to the Market-1501 test-set.
22 papers · 1 benchmark
CUHK03-C is an evaluation set that consists of algorithmically generated corruptions applied to the CUHK03 test-set.
9 papers · 1 benchmark
The ClonedPerson dataset is a large-scale synthetic person re-identification dataset introduced in the paper "Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification" in CVPR 2022.
6 papers · 4 benchmarks
MSMT17-C is an evaluation set that consists of algorithmically generated corruptions applied to the MSMT17 test-set.
5 papers · 1 benchmark
RegDB-C is an evaluation set that consists of algorithmically generated corruptions applied to the RegDB test-set (color images).
4 papers · 0 benchmarks
SYSU-MM01-C is an evaluation set that consists of algorithmically generated corruptions applied to the SYSU-MM01 test-set.
4 papers · 1 benchmark
The growing importance of person re-identification in computer vision has highlighted the need for more extensive and diverse datasets.
1 paper · 1 benchmark
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.