This YOLOv5 model is trained on a custom traffic dataset to detect five key object classes:
bicycle, bus, car, motorbike, and person.
It is optimized for real-time detection in urban environments, and can be used in applications such as:
- 🚗 Traffic monitoring
- 🌆 Smart city infrastructure
- 🚙 Autonomous driving systems
Note: The image above shows results from the training of the model.