🚗 Vehicle Detection and Speed Estimation using YOLOv8

This project performs real-time vehicle detection and speed estimation using the YOLOv8 object detection model. It analyzes video frames, tracks vehicle movement, and estimates their speed using calibrated distances and time-based calculations.

✅ Features

• Vehicle detection using YOLOv8 (Ultralytics)
• Speed estimation based on real-world distance and frame time
• Real-time or video file input support
• Annotated output with bounding boxes, labels, and estimated speed
• Vehicle counting across a virtual line

🧠 Technologies Used

• Python 3.8+
• Ultralytics YOLOv8
• OpenCV
• NumPy

📁 Project Structure

**vehicle-speed-estimation-yolov8/ │ ├── yolov8_vehicle_speed.py # Main script ├── utils.py # Helper functions ├── videos/ # Input videos ├── outputs/ # Output videos ├── requirements.txt # Python dependencies └── README.md # This file

**