# Number Plate Detection using YOLO and Gradio

This repository contains code and resources for number plate detection using YOLO (You Only Look Once) object detection algorithm and Gradio for building a user-friendly interface.

## Table of Contents
- [Introduction](#introduction)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)

## Introduction
Number plate detection is an important task in various applications such as traffic surveillance, parking management, and law enforcement. This project utilizes the YOLO algorithm, a state-of-the-art object detection model, to detect number plates in images or videos. Gradio, a Python library, is used to create a simple and interactive user interface for easy testing and deployment.

## Installation
To use this project, follow these steps:

1. Clone the repository: `git clone https://github.com/yuval728/number-plate-detection.git`
2. Install the required dependencies: `pip install -r requirements.txt`

## Usage
1. Run the `app/app.py` script.
2. Open your web browser and navigate to `http://localhost:7860`.
3. Upload an image or video file to detect number plates.
4. View the detected number plates and their bounding boxes.

## Contributing
Contributions are welcome! If you have any ideas, suggestions, or bug reports, please open an issue or submit a pull request.

## License
This project is licensed under the [MIT License](LICENSE).