Number Plate Detection

This project aims to detect number plate of a vehicle in a image or video and extract the number plate text using Optical Character Recognation(OCR). This system is implemented by using yolov5, EasyOCR and a Custom OCR model.

📚 Dataset

The dataset used to train yolov5 dectection :

Pakistan Vehicle Number Plate Dataset

Pakistani_Vehicle_Dataset_SAZ

Labeled licence plates dataset

Used Roboflow to annotate/label our data.

🛠️ Installation & Usage

1. Clone the repository

git clone https://github.com/ZohairAbbas/Number-Plate-Detection.git

2. Change the working directory

cd Number-Plate-Detection

3. Install dependencies

pip install -r requirements.txt

4. Run the app

python -m uvicorn api:app --reload

🔭 Project architecture

The pipeline in the project is as follows:

• Train custom data using yolov5
• Custom number plate detection using yolov5 and saving plates as cropped images
• Apply the extracted plate to EasyOCR and Custom OCR
• Get plates-text in an array format
• Integeration of FastAPI

💎 Results

🤝 Developers