Image Segmentation is a computer vision technique that involves dividing an image into multiple segments or regions. This process helps in simplifying the representation of an image, making it easier to analyze and understand. Each segment typically corresponds to different objects or areas within the image, allowing for more precise identification and classification. The primary goal of image segmentation is to isolate specific features or objects, such as people, cars, or buildings, from the background. This technique is widely used in various applications, including medical imaging, autonomous vehicles, and facial recognition, enhancing the ability to interpret visual data effectively.