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In this video, we'll take a look at how to use U-NET, a deep learning model, to clean up and segment objects in images. We'll start by explaining what object segmentation is and why it's useful in image processing. Then, we'll go over the U-NET architecture and how it can be used for object segmentation. We'll also provide a demonstration of how to train and use a U-NET model to segment objects in an image. This video is perfect for beginners who are interested in learning about object segmentation and U-NET, as well as for anyone who wants to improve the quality of their images. By the end of this video, you'll have a solid understanding of how to use U-NET for object segmentation and how to apply it to your own images.

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Clean Up Your Images with U-NET: A Beginner's Guide to Object Segmentation

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