This project implements a car counter using YOLOv8, a state-of-the-art object detection model. The system detects and tracks cars in a video feed, counting the number of cars passing through a specified region of interest.

• Object detection and tracking using YOLOv8
• Real-time car counting
• Customizable region of interest (ROI) for counting cars
• Support for various video formats
• Easy-to-use interface for configuration and monitoring

• use given requirement file to install packages
• note carefully iam using python version 3.10.

1. Clone the repository:

git clone https://github.com/YameenAli/CarCounterYolov8.git

2. Install dependencies:

pip install -r requirements.txt