Datasets › LReID
LReID
LReID is a benchmark for lifelong person reidentification. It has been built using existing datasets, and it consists of two subsets: LReID-Seen and LReID-Unseen.
LReID-Seen contains 40,459 training images of the 2,500 identities selected from the following datasets: CUHK03, Market-1501, MSMT17 V2, DukeMTMC-ReID, CUHK-SYSU ReID. This is used to test a model's performance on seen domains.
LReID-Unseen contains 9,854 images from 3,594 identities from the following datasets: VIPeR, PRID, GRID, i-LIDS, CUHK01, CUHK02, SenseReID. This subset is used to test the model's generalisation capabilities to unseen domains.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 8 papers for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Multiple licenses
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- LReID
1 variant name, as the archive lists them.
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