Learn how to implement and train a U-Net model for person segmentation using TensorFlow and Keras in this comprehensive tutorial. Dive into data preprocessing, U-Net architecture design, model training, and evaluation. Begin by loading and preparing the persons dataset, including image resizing and mask conversion. Explore the U-Net model architecture, constructing encoder and decoder components with Keras. Train the model using optimized parameters and callbacks for improved performance. Finally, evaluate the trained model on test data and visualize predicted segmentation masks. Gain hands-on experience in advanced computer vision techniques for human image segmentation.