Hi,
I’m excited about the opportunity to develop a robust license plate detection model for your dataset of 5,000 surveillance images. As a Software Engineering graduate and experienced RPA Engineer, I have the technical expertise to deliver an accurate and efficient solution.
Approach
- Dataset Preparation:
Preprocessing images for consistency and annotating if not already labeled.
- Model Development:
Leveraging YOLOv8 with PyTorch or TensorFlow to handle both daytime and nighttime images.
- Lighting Optimization: Enhancing low-light images using OpenCV techniques.
- Deployment: Deploying for real-time detection or post-processing, using formats like ONNX or TensorFlow Lite.
Technologies
YOLOv8, Python, PyTorch, OpenCV, and GPU-enabled systems (e.g., AWS).
Expertise
Proficient in Python, AI, and automation with experience in dataset handling and model training.
Questions for Clarification
Should the model support Arabic characters?
Is the dataset labeled, and what is the distribution of daytime vs. nighttime images?
Will the model be used for real-time or post-processing purposes?
I would love to discuss your specific requirements and project goals further. Please feel free to contact me to finalize the details and begin work.
Best regards,
Chanuka D