2D Semantic Segmentation

2D Semantic Segmentation is an important task in computer vision that aims to classify each pixel in an image into predefined categories, achieving a fine-grained understanding of the image content. Its goal is to generate a pixel-level label map to accurately identify and distinguish different objects and regions within the image. This technology has broad application value in areas such as autonomous driving, medical image analysis, and scene understanding, providing high-precision image parsing results that support decision-making and operations in complex scenarios.