Instance segmentation is a computer vision task that involves detecting and delineating each object of interest in an image at the pixel level, distinguishing between different instances of the same object class. It combines elements of object detection and semantic segmentation, enabling more precise and detailed scene understanding for applications like autonomous driving and medical imaging.