Deep Image Segmentation is a process used to assign each pixel in an image a category label. It is a type of computer vision task that involves classifying each pixel of an image into one of several predefined classes. It is a form of pixel-level prediction, which is a type of supervised learning technique used for tasks such as object detection, semantic segmentation, and scene understanding. Deep Image Segmentation algorithms use deep learning techniques such as convolutional neural networks to identify and classify objects in an image.