A pipeline for generating synthetic training data for change detection models. It combines geometric augmentation from sequential panoramic street-view images with semantic changes synthesized via diffusion-based inpainting, producing realistic before/after image pairs annotated at the pixel and bounding-box level. - View it on GitHub