37,000 vehicle images across 5 object classes with corresponding YOLO-formatted annotations. These files support the development of real-time detection models for automotive applications.
Use Cases
- Train a YOLO-based object detection model using the 37,000 images and YOLO-formatted labels
- Develop automated traffic analysis tools to identify and categorize vehicles into 5 specific classes
- Evaluate the precision and recall of computer vision models on a large-scale automotive image set
Strengths
- 37,000 vehicle images for object detection
- Labels provided in YOLO format
- Includes 5 distinct vehicle classes