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Video-Based Person Re-Identification datasets

archive 2025-07-28

8 datasets carry the task tag "Video-Based Person Re-Identification" (the task itself: Video-Based Person Re-Identification), ordered by the archive's paper count. Page 1 of 1: 8 shown of 8. 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

Video-Based Person Re-Identification datasets 1–8 of 8

MARS (Motion Analysis and Re-identification Set)
MARS (Motion Analysis and Re-identification Set) is a large scale video based person reidentification dataset, an extension of the Market-1501 dataset.
181 papers · 2 benchmarks
The DukeMTMC-VideoReID (Duke Multi-Tracking Multi-Camera Video-based ReIDentification) dataset is a subset of the DukeMTMC for video-based person re-ID.
49 papers · 2 benchmarks
The iLIDS-VID dataset is a person re-identification dataset which involves 300 different pedestrians observed across two disjoint camera views in public open space.
20 papers · 2 benchmarks
The Airport dataset is a dataset for person re-identification which consists of 39,902 images and 9,651 identities across six cameras.
8 papers · 0 benchmarks
Provides consistent ID annotations across multiple days, making it suitable for the extremely challenging problem of person search, i.e., where no clothing information can be reliably used.
5 papers · 0 benchmarks
AG-VPReID (AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification)
The largest aerial-ground video dataset with 6,632 identities, 32,321 tracklets, and 9.6 million frames Multiple platforms combining aerial drones (at various altitudes: 15m, 30m, 80m, 120m), CCTV cameras, and wearable cameras Rich…
1 paper · 0 benchmarks
MARS dataset processed with our re-Detect and Link (DL) module.
1 paper · 0 benchmarks
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

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.