Instance Segmentation is a computer vision task that involves identifying and delineating each object instance within an image. Unlike traditional object detection, which only provides bounding boxes around objects, instance segmentation assigns a unique label to each pixel belonging to an object, allowing for precise shape representation. This technique is particularly useful in applications like autonomous vehicles, medical imaging, and robotics, where understanding the exact boundaries of objects is crucial. By combining the benefits of both object detection and semantic segmentation, instance segmentation enables more detailed analysis and interaction with visual data.