How to Actually Remove Any Background with U²-Net

This hands-on tutorial walks you through a complete U²-Net pipeline for background removal, demonstrating how to achieve professional results without blurry edges or green screens. Learn to build a U²-Net model in TensorFlow, preprocess datasets into an efficient pipeline, train the model on person segmentation data, and run inference on your own images. The 31-minute video covers everything from installation to implementation, with chapters including an introduction and demo, U²-Net architecture explanation, installation process, model building, custom mode creation, and running inference on single images. Access the complete code through the provided link and explore additional computer vision tutorials on the creator's blog and YouTube playlists focused on Visual Language models and image segmentation techniques.