The Dataset consists of xxx high-quality images of vehicles, spanning multiple models and six distinct color categories: yellow, blue, orange, red, green, and pink, with each image carefully labeled to indicate its corresponding color class, making the dataset highly suitable for the development and evaluation of advanced vehicle color recognition systems that rely on accurate color classification. The dataset provides a diverse set of examples across different car models and colors, allowing researchers and developers to train machine learning models that can generalize well to real-world vehicle images in various environments and lighting conditions.