ULI-RI (Unreal Labeled Images for Person Re-ID)
Introduced by Guo et al. in Illumination Variation Correction Using Image Synthesis For Unsupervised Domain Adaptive Person Re-Identification
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.
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