Filling In The World Map With Street-Level Imagery and Deep Learning: MapSwipe and Hug-a-Panorama

HeiGIT has been working with deep learning models and street-level imagery for some time, with the goal to contribute to “filling in the world map” by gaining high-resolution information about regions that are often scarcely mapped. This objective is especially important for humanitarian aid efforts, but also extends to urban planning and civil protection logistics. […]