EasyKoreanLpDetector

English | Korean

I am releasing this repository because there are no other options that work great on Korean license plates. Please give it a star if you find it helpful.

Algorithm

Input Image -> Detect cars -> Detect Korean License Plate in Car -> OCR

Requirements

All weights are included in the project (~50 MB). No extra downloads needed.

pip

pip install -r requirements.txt

uv (recommended)

uv venv --python 3.11
uv pip install -r requirements-uv.txt --index-url https://download.pytorch.org/whl/cpu

Steps to run

git clone https://github.com/gyupro/EasyKoreanLpDetector/
cd EasyKoreanLpDetector
streamlit run server.py --server.headless true

Good examples	Good examples	Bad example

Trained On :

• This trained on AIHUB dataset
• OCR is trained on 80,000 license plate - character set
• License plate detection is trained on synthetic data that was generated by AIHUB dataset (Dataset provides a blurred license plate on a car, I replaced a blurred area with cropped plates)

Advantages :

• This project works better than other open-source projects on GitHub.
• It has the easiest code of all projects on GitHub. *It is fast when you have a GPU.
• You can improve performance by training.
• It works well with 4K images taken from a phone.

Limitations :

• The train is not perfectly done, Original yolov5 model is used to detect a car so that it does not perform well when a car is close to the camera
• Old license plates may not be easily recognizable, but compared to older ones, newer ones are more easily recognizable.

References

• https://github.com/ultralytics/yolov5

• https://github.com/JaidedAI/EasyOCR