Semantic Segmentation

Semantic segmentation is an important task in computer vision that aims to classify each pixel in an image into a specific category or object. The goal of this task is to generate a dense pixel-level segmentation map, and the model's performance is typically evaluated using metrics such as Mean Intersection over Union (Mean IoU) and pixel accuracy. Semantic segmentation has significant application value in areas like autonomous driving and medical image analysis.