Analyzing Satellite Photos of Rome Using a ML Model Trained on Chicago Aerial Photos

In this project, we segmented buildings in high-resolution satellite images of Rome.
For this task, we used a machine learning model trained on aerial photos of Chicago.
Due to the different building shapes and brightness of the images in Rome and Chicago, it did not show the best performance, but if you would like to implement a machine learning model with better performance, please contact deepblock.net/contact.