Vehicle color recognition (VCR) is vital in intelligent traffic management and criminal investigation assistance. However, the existing vehicle color data sets only cover 13 classes, which cannot meet the current actual demand. Besides, although much effort is devoted to VCR, it suffers from the problem of class imbalance in data sets.Vehicle color recognition (VCR) is vital in intelligent traffic management and criminal investigation assistance. However, the existing vehicle color data sets only cover 13 classes, which cannot meet the current actual demand. Besides, although much effort is devoted to VCR, it suffers from the problem of class imbalance in data sets.[#item_full_content]