GP-Geo/kenya-circles-segmentation

This project focuses on semantic segmentation of circular land surface structures in eastern Kenya using Sentinel-2 satellite imagery and a U-Net convolutional neural network. The workflow covers data preparation, preprocessing, and visualization steps for building a machine-learning dataset based on Sentinel-2 multispectral data.