Mask region-based convolutional neural network (R-CNN) models for extracting building footprints from remote sensing data

These models were used to extract footprints in formal residential zones, industrial zones, and informal settlement zones within the City of Cape Town. It must be noted that the trained Mask R-CNN models are scalable to extract building footprints across different South African’ Metropolitans, as formal and informal zones co-exist in these areas and they have similar environmental settings.</p>