Instance segmentation is a sophisticated computer vision technique that focuses on accurately identifying and segmenting each individual object within an image. Differing from semantic segmentation, which classifies pixels according to their semantic meaning (such as road, sky, or person), instance segmentation can distinguish between multiple instances of the same object class.