Instance Segmentation

Instance segmentation goes beyond semantic segmentation by separating individual objects belonging to the same class. For example, instead of labeling all people in a scene simply as "person," it produces a distinct mask for each one. This is critical for counting, robotic grasping, inventory analysis, and scene interaction tasks. Mask R-CNN is one of the historically most influential examples of this approach.