Datasets › LLCM

LLCM (Low-Light Cross-Modality Person Dataset)

Introduced by Yukang Zhang et al. in Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification25 Mar 2023 archive 2025-07-28

LLCM (Low-Light Cross-Modality) dataset is constructed to facilitate the study of low-light cross-modality person Re-ID task. It contains 46,767 person images of 1,064 identities, and each identity is captured by at least one RGB camera and one IR camera. The LLCM dataset is divided into a training set and a testing set at a ratio about 2:1. The training set contains 30,921 bounding boxes of 713 identities (16,946 bounding boxes are from the VIS modality and 13,975 bounding boxes are from the IR modality), and the testing set contains 13,909 bounding boxes of 351 identities (8,680 bounding boxes are from the VIS modality and 7,166 bounding boxes are from the IR modality).

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

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Tasks archive 2025-07-28

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License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

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Variants archive 2025-07-28

  • LLCM

1 variant name, as the archive lists them.

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