Semantic segmentation is a computer vision technique that precisely classifies each pixel within an image into predefined categories or classes, such as road, sky, or pedestrians. This detailed pixel-level understanding enables applications like autonomous driving, medical imaging, and scene recognition, facilitating more accurate and context-aware analysis of visual data by providing a comprehensive segmentation map of the scene.