Semantic Segmentation Annotation

Semantic segmentation requires precise pixel-level classification to generate ground truth labels. In this lab, you are tasked with interpreting the geometric boundaries of objects and assigning them to their respective semantic classes. By manually filling these regions, you will create the binary or multi-class masks required to train deep U-Net architectures.