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The UFPR Vehicle Color Recognition (UFPR‑VCR) dataset aims to address more complex vehicle color recognition scenarios than previous studies. The dataset contains 10,039 images covering 9,502 vehicles of various categories such as cars, trucks, buses, and vans, and the images exhibit a range of real‑world conditions including front and rear views, partial occlusions, diverse lighting, and nighttime scenes.

The UFPR‑VCR dataset was created by the Federal University of Paraná and contains 10,039 images covering 11 vehicle colors, primarily for vehicle color recognition research. Images are sourced from six publicly available license‑plate recognition datasets in Brazil, pre‑processed and filtered to ensure research‑suitable quality. The dataset emphasizes challenging scenarios such as nighttime and multiple viewpoints.