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In this tutorial, we will learn how to remove the background from images using a deep learning technique called image segmentation. The goal is to separate the background and foreground components of the image, where the foreground represents the person in the photo. Image segmentation involves labeling each pixel of an image with a specific class, such as background (pixel value 0) and foreground (pixel value 1). The tutorial will use a pre-trained DeepLabv3+ model on a human image segmentation dataset to solve this task.
