Datasets › ULI-RI

ULI-RI (Unreal Labeled Images for Person Re-ID)

Introduced by Jiaqi Guo et al. in Illumination Variation Correction Using Image Synthesis For Unsupervised Domain Adaptive Person Re-Identification13 Nov 2023 archive 2025-07-28

The ULI-RI dataset is generated using the Unreal Engine 4 to simulate various outdoor environments with 115 high-quality 3D human models. For each person identity, we controlled and quantitatively labeled the illumination intensity, view point (model z-rotation angle), and background to create 512 images. There are total 115 x 512 = 58880 images in the ULI-RI dataset.

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 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

License archive 2025-07-28

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Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • ULI-RI

1 variant name, as the archive lists them.

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