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Real-time YOLOv5 model for detecting traffic objects like cars, buses, bikes, and pedestrians in urban scenes.

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Neelraah/traffic-detection-model-yolov5

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🚦 YOLOv5 Traffic Detection Model

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

📸results of training

training results

Note: The image above shows results from the training of the model.

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Real-time YOLOv5 model for detecting traffic objects like cars, buses, bikes, and pedestrians in urban scenes.

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