Vehicles OpenImages is a large-scale public dataset from Google's OpenImages library, focusing on image datasets for vehicle detection and localization, designed to support fast and efficient training of vehicle detection models.

This dataset contains vehicle images under various environments, lighting conditions, and viewpoints. The images are preprocessed to a 416×416 resolution, making them suitable for modern object detection models such as YOLO, SSD, and RetinaNet. It provides multiple annotation formats, including COCO, YOLO, Pascal VOC, and TensorFlow, and is compatible with various machine learning frameworks. It also includes a balanced training/validation/test split to evaluate model performance.