Datasets › DukeMTMC-VideoReID

DukeMTMC-VideoReID

Introduced by Yu Wu et al. in Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning1 Jun 2018 archive 2025-07-28

The DukeMTMC-VideoReID (Duke Multi-Tracking Multi-Camera Video-based ReIDentification) dataset is a subset of the DukeMTMC for video-based person re-ID. The dataset is created from high-resolution videos from 8 different cameras. It is one of the largest pedestrian video datasets wherein images are cropped by hand-drawn bounding boxes. The dataset consists 4832 tracklets of 1812 identities in total, and each tracklet has 168 frames on average.

NOTE: This dataset has been retracted.

Source: Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning

Benchmarks archive 2025-07-28

All 2 leaderboards 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.

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 49. 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

Unknown

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

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Variants archive 2025-07-28

  • DukeMTMC-VideoReID

1 variant name, as the archive lists them.

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