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Person Re-Identification datasets

archive 2025-07-28

65 datasets carry the task tag "Person Re-Identification" (the task itself: Person Re-Identification), ordered by the archive's paper count. Page 2 of 2: 17 shown of 65. 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 50 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Person Re-Identification datasets 49–65 of 65

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 eSports Sensors dataset contains sensor data collected from 10 players in 22 matches in League of Legends.
4 papers · 2 benchmarks
The OpeReid dataset is a person re-identification dataset that consists of 7,413 images of 200 persons.
3 papers · 0 benchmarks
AG-ReID.v2 (Aerial-Ground Person Re-identification)
Aerial-ground person re-identification (Re-ID) presents unique challenges in computer vision, stemming from the distinct differences in viewpoints, poses, and resolutions between high-altitude aerial and ground-based cameras.
2 papers · 1 benchmark
This dataset contains 1203 individuals captured from two disjoint camera views.
2 papers · 0 benchmarks
The 42Street dataset is based on a theater play as an example of such an application.
1 paper · 0 benchmarks
CUHK01 (CUHK Person Re-identification)
This dataset contains 971 identities from two disjoint camera views.
1 paper · 0 benchmarks
Correlated Corrupted Dataset is an evaluation set that consists of realistic visible-infrared (V-I) corruptions allowing for models' corruption robustness evaluation.
1 paper · 0 benchmarks
Collected data from two distinct experiments in immersive, interactive VR where participants performed dynamic tasks as their eye, head, and hand movements were recorded.
1 paper · 0 benchmarks
The growing importance of person re-identification in computer vision has highlighted the need for more extensive and diverse datasets.
1 paper · 1 benchmark
The IUSTPersonReID dataset was developed to address limitations in existing person re-identification datasets by including cultural and environmental contexts unique to Islamic countries, especially Iran and Iraq.
1 paper · 1 benchmark
MVB (Multi View Baggage)
MVB (Multi View Baggage) is a dataset for baggage ReID task which has some essential differences from person ReID.
1 paper · 0 benchmarks
Occluded-PoseTrack-ReID (Occluded-PoseTrack Re-Identification)
We introduce Occluded PoseTrack-ReID (or simply Occ-PTrack), a new ReID dataset we built out of the annotation available with PoseTrack21, a popular video benchmark for multi-person pose tracking, that features keypoints and cross-video…
1 paper · 1 benchmark
TVPReid (Text-to-Video Person Re-identification)
The TVPReid dataset contains 6559 pedestrian videos, each of which is annotated with two text descriptions, for a total of 13118 descriptions.
1 paper · 0 benchmarks
ULI-RI (Unreal Labeled Images for Person Re-ID)
The ULI-RI dataset is generated using the Unreal Engine 4 to simulate various outdoor environments with 115 high-quality 3D human models.
1 paper · 0 benchmarks
Uncorrelated Corrupted Dataset is an evaluation set that consists of realistic visible-infrared (V-I) corruptions allowing for models' corruption robustness evaluation.
1 paper · 0 benchmarks
The X-MARS dataset proposes new splits for the MARS dataset, to allow for cross-evaluation with the Market-1501 dataset without training and test overlap between the two datasets.
1 paper · 0 benchmarks

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.