Instance Segmentation

Instance segmentation is a task in the field of computer vision that aims to identify individual objects in an image and separate each object's boundary while assigning a unique label to each object. Its goal is to generate a pixel-level segmentation map, ensuring that each pixel in the image is accurately attributed to a specific object instance, thereby achieving precise localization and differentiation of multiple objects in complex scenes. This technology has significant value in applications such as autonomous driving, medical image analysis, and robotic vision.