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This video tutorial aims to teach viewers how to remove background from images using deep learning techniques. The task involves separating the background and foreground components of an image, with the foreground representing the main subject. Image segmentation, which labels each pixel of an image with a specific class, is used to accomplish this. The background is represented by pixel value 0, while the foreground (such as a person in the image) is represented by pixel value 1. The tutorial mentions using a pre-trained Deep Version 3 Plus model on a human image segmentation dataset to solve this task effectively.
