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Check out the documentation for more information.
Vision-AN18
Privacy-preserving computer vision for detecting and anonymizing sensitive visual information in street images.
Overview
Vision-AN18 is a deep learning pipeline designed to detect license plates and house numbers in public images, then blur the identified regions to preserve privacy while keeping the overall image useful.
The project combines:
- a data preparation pipeline,
- a Faster R-CNN detection model,
- an anonymization module,
- a FastAPI inference service,
- a simple Gradio demo for testing.
Key Features
- License plate detection
- House number detection
- Gaussian blur anonymization
- Dataset preprocessing pipeline
- Inference and deployment support
- GPU-ready training workflow
Model
The detection model is based on Faster R-CNN with a ResNet-50 + FPN backbone.
Training was performed on an NVIDIA RTX 5050, and the model is intended to be shared on Hugging Face for easier reproducibility and deployment.
Repository Structure
Avainble soon on github repo
License
This project is intended for research and privacy-oriented computer vision experiments.