bennjordan/PlateShapez: Effortless Automation of Subtle, Random Gaussian Shapes to Disrupt AI License Plate Recognition by Law Enforcement and Retailers

🌟 Revolutionizing Vehicle License Plate Research 🌟

Explore a cutting-edge research tool for generating adversarially perturbed license plate overlays. Our platform delivers structured datasets that prioritize reproducibility, transparency, and ethical standards—designed with user safety in mind.

Key Features:

• User-First Design: Easy-to-navigate CLI and Python API for seamless integration.
• Customizable Datasets: Generate various license plate configurations and perturbations effortlessly.
• Ethical Guidelines: Adhere to responsible use practices as outlined in the Dataset Card.

How to Get Started:

1. Run the Integrated CLI Demo:
   • uv run advplate demo for a hands-on experience.
2. Generate Datasets:
   • Execute commands with options for custom configurations.

💡 Dive into the future of AI and contribute to robust OCR and ALPR systems!

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