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PlateShapez – Tool for generating adversarially perturbed license plate overlays
A quick and simple way to automate small, hardly-noticeable, random gaussian shapes to confuse AI license plate readers used by law enforcement and retailers. - GitHub - bennjordan/PlateShapez: A ...
A research tool for generating adversarially perturbed license plate overlays on vehicle images, producing structured datasets with reproducibility, transparency, and ethical guardrails. Create synthetic car backgrounds and license plate overlays Show CLI usage with custom configurations Demonstrate Python API with different perturbations Generate datasets and show output structure Display metadata and results analysis --config PATH- Path to YAML/JSON configuration file--n_variants INT- Override number of variants per image pair--seed INT- Random seed for reproducible results--verbose- Enable verbose logging--debug- Enable debug logging with full stack traces--dry-run- Preview generation plan without creating files
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