The project “Development of an effective method for detecting small buildings in satellite imagery” aimed to develop a reliable approach for identifying small building structures (below 10×10 m) in Sentinel-2 data. Traditional segmentation and classification methods, such as U-Net or ResNet, show limited accuracy when building footprints are smaller than a pixel or surrounded by complex background elements like vegetation or shadows.