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---
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:
```bash
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:
```bash
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 |