| title: Automatic License Plate Recognition | |
| emoji: 🔍 | |
| colorFrom: green | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 4.44.0 | |
| app_file: app.py | |
| tags: | |
| - computer-vision | |
| - license-plate | |
| - alpr | |
| - license-plate-recognition | |
| - object-detection | |
| - license-plate-detection | |
| - gradio | |
| - ocr | |
| - yolo | |
| - onnx | |
| - real-time | |
| pinned: true | |
| license: mit | |
| short_description: Automatic License Plate Recognition | |
| # Automatic License Plate Recognition (ALPR) | |
| An automatic license plate recognition (ALPR) system with customizable detector and OCR models. This system uses the FastALPR library to detect and recognize license plates in images. | |
| ## Features | |
| - **Multiple Detector Models**: Choose from various plate detection models | |
| - **Customizable OCR Models**: Select different OCR models for text recognition | |
| - **Real-time Processing**: Upload images and get instant results | |
| - **Visual Annotations**: See detected plates highlighted on the image | |
| - **Confidence Scores**: Get confidence levels for each detection | |
| ## Usage | |
| 1. Upload an image containing a vehicle with a license plate | |
| 2. Select your preferred detector and OCR models from the sidebar | |
| 3. View the processed results with annotations | |
| 4. See detailed OCR text and confidence scores | |
| ## Models | |
| The system supports multiple detector and OCR models from the FastALPR library, including: | |
| - Various YOLO-based detection models | |
| - CCT OCR models for text recognition | |
| - Global and specialized models for different use cases | |
| ## Requirements | |
| - Python 3.8+ | |
| - FastALPR library | |
| - Streamlit | |
| - OpenCV | |
| - PIL/Pillow | |