ALPRovingGround

ALPRovingGround is a Python application designed to evaluate adversarial noise attacks on license plate recognition systems, facilitating the creation of a dataset for training improved attack models. The tool allows users to input images of perturbed license plates and generates output files that include annotated images and a CSV report detailing the effectiveness of various perturbations. Notable features include support for multiple YOLO detection and OCR models, along with a user-friendly interface to manage input and output data.