Building detection from the SpaceNet dataset using UNet.

This initiative leverages cutting-edge machine learning technique such as Mask R-CNN to automate the identification of buildings in satellite images after disasters. Employing high-resolution Maxar imagery, our models efficiently and accurately pinpoint affected structures, enhancing the speed and effectiveness of emergency responses.

Building detection model with YOLOv10 on UAVOD-10 dataset