Plateshapez: A Tool for Generating Adversarial License Plate Datasets

Plateshapez is a research tool for generating datasets of adversarially perturbed license plate images. Designed with a user-first, safe-by-default, and expert-hackable philosophy, it offers a CLI and Python API to create reproducible, transparent, and ethically sound structured datasets. Users can customize configurations, adding various perturbations (shapes, noise, textures, warping), and controlling the scope of the perturbation (license plate region or the entire image). The tool is intended for research into the adversarial robustness of OCR and ALPR systems and includes comprehensive documentation and ethical guidelines.