README.md

metadata

title: Thai License Plate Detection V1.2
emoji: 🚗
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: 1.29.0
app_file: app.py
pinned: false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Thai License Plate Recognition App

This Streamlit application performs Thai license plate detection and recognition using deep learning models.

Features

• License plate detection using YOLO
• Character recognition for Thai license plates
• Province name detection and recognition
• Real-time processing with visual feedback
• User-friendly web interface

Setup

1. Install the required dependencies:

pip install -r requirements.txt

2. Download the required model files and place them in the models directory:

   • best.pt - YOLO model for license plate detection
   • read_char.pt - YOLO model for character recognition

3. Ensure the configuration file config/data.yaml is present with character mappings.

Running the Application

To run the application:

streamlit run app.py

The application will be available at http://localhost:8501 by default.

Usage

1. Open the application in your web browser
2. Click the "Choose an image..." button to upload an image containing a Thai license plate
3. Wait for the processing to complete
4. View the results:
   • Detected license plate number
   • Detected province name
   • Visual detection results

Models

The application uses three main models:

1. YOLO model for license plate detection
2. YOLO model for character recognition
3. TrOCR model for province text recognition (automatically downloaded)

Directory Structure

streamlitapp/
├── app.py
├── requirements.txt
├── README.md
├── models/
│   ├── best.pt
│   └── read_char.pt
└── config/
    └── data.yaml

Notes

• The application requires an internet connection for the first run to download the TrOCR model
• Supported image formats: JPG, JPEG, PNG
• For optimal results, ensure the license plate is clearly visible in the image