Project Overview
Developed Small Object Detection (SOD) technology to enhance license plate recognition in school zones, addressing the limitations of YOLO-based object detection models.
** about SOD (Our company and University developed this technology )
Key Responsibilities
- Collected and preprocessed vehicle license plate data.
- Built a Korean vehicle license plate generator using OpenCV and Python.
- Set up a Kubeflow-based environment for license plate recognition model development.
- Managed AI project configurations using Cookiecutter, MinIO, DVC, and Git.
Achievements
- Although the project wasn't adopted initially, it contributed to winning another research project in the following year.
- Increased model accuracy to 98% by generating and augmenting license plate datasets.