Fire Detection using YOLOv8

[Fire Detection]

This repository contains an implementation of YOLOv8 trained to detect fire. The YOLO (You Only Look Once) algorithm is a real-time object detection system.

Getting Started

1. Clone the Repository: Clone this repository to your local machine using git clone https://github.com/salim4n/Fire_Detection.git.

2. Install Python: Make sure you have Python installed on your computer.

3. Run the Code: Open a terminal/command prompt, navigate to the cloned repository, and run the command python main.py to start the fire detection application.

Demo

Check out this demo video to see the fire detection in action:

Watch the Demo Video

Usage

• The main.py script processes a video stream in real-time, detecting fire using the trained YOLOv8 model.
• Use the webcam or provide a video file as input for detection.
• Detected fires are highlighted in the video with bounding boxes.
• Feel free to experiment with different video sources and scenarios.

License

This project is licensed under the MIT License.