https://github.com/msparihar/fire-detection-using-yolov5
Do you want to detect fire using cameras or you want to replace those expensive smoke detectors and use cameras to detect fire. Well, I have created a fire detection model which can detect fire using YOLOV5. So, feel free to use it.
https://github.com/msparihar/fire-detection-using-yolov5
Last synced: 11 months ago
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Do you want to detect fire using cameras or you want to replace those expensive smoke detectors and use cameras to detect fire. Well, I have created a fire detection model which can detect fire using YOLOV5. So, feel free to use it.
- Host: GitHub
- URL: https://github.com/msparihar/fire-detection-using-yolov5
- Owner: Msparihar
- License: mit
- Created: 2023-10-02T17:16:48.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-02T18:11:26.000Z (over 2 years ago)
- Last Synced: 2024-02-02T19:28:16.962Z (over 2 years ago)
- Language: Python
- Homepage:
- Size: 25.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Fire Detection Using YOLOV5
This project explores the creative use of the YOLOv5 model, pushing its boundaries beyond object detection to tackle the critical challenge of fire identification.
## Overview
This project is a user-friendly web application that leverages YoloV5 to identify fire in images or videos accurately. With a deep learning model trained on a dataset of 10,000+ images, this project highlights the practical side of using AI in the real world.
## Features
The Fire Detection project offers the following features:
1. **Fire Detection:**
2. **User-friendly Interface:**
## Demo
## Interface
## Sample output on Images
## Installation
To run this Fire Detection project locally, follow these steps:
1. Clone the Repository:
```bash
git clone https://github.com/Msparihar/Fire-Detection-using-YoloV5.git
```
2. Install the required dependencies:
```bash
pip install -r requirements.txt
```
3. Run the App:
```bash
python main.py
```
## Contribution
Contributions to the Fire Detection project are welcome! If you'd like to contribute, please follow these steps:
1. Fork the repository on GitHub.
2. Create a new branch from the `main` branch.
3. Make your modifications and enhancements.
4. Test your changes thoroughly.
5. Commit and push your changes to your forked repository.
6. Submit a pull request to the main repository, describing your changes in detail.
Please ensure your contributions adhere to the project's coding standards and guidelines.
## Acknowledgments
The Fire Detection project is built upon various open-source libraries and resources. I would like to express my gratitude to the developers and contributors of the following projects:
- [Ultralytics](https://github.com/ultralytics/ultralytics)
- [Python](https://www.python.org/)
- [Flask](https://flask.palletsprojects.com/)
- [Roboflow](https://roboflow.com/)
## License
This project is licensed under the [MIT License](LICENSE). Feel free to modify and distribute it according to the terms of the license.
## Contact
If you have any questions, suggestions, or feedback regarding this project, please contact the project maintainer at manishsparihar2020@gmail.com
I really appreciate your interest in this project and hope you found this project helpful! Keep Exploring!