readme.md

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
• Installation
• Usage
• Contributing
• 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.