Instance segmentation is a computer vision technique that not only identifies and classifies objects within an image but also separates individual instances of the same object class. It provides detailed pixel-level masks for each unique object, enabling precise differentiation between multiple objects of the same category, which is essential for applications requiring detailed scene understanding, such as autonomous driving and medical imaging.