Instance Segmentation

Instance segmentation is a computer vision task that involves detecting and delineating each distinct object instance within an image. Unlike traditional object detection that only identifies bounding boxes around objects, instance segmentation assigns a unique label to each pixel in the image that belongs to a specific object. This allows for precise localization and differentiation of objects that may overlap or be in close proximity to one another. Common use cases include autonomous driving, where understanding the precise shape and location of vehicles and pedestrians is critical, and medical imaging, where accurate identification of different anatomical structures is essential.