This repository provides a U-Net implementation for semantic image segmentation tasks using Tensorflow. The architecture consists of encoder and decoder paths with skip connections, designed to work with arbitrary imaging data. Originally developed for radio frequency interference mitigation in astronomy, the code supports training on custom datasets through configurable network parameters and includes demo notebooks for toy problems and domain-specific applications.