Creating an Animal Segmentation Model with U-Net and TensorFlow Keras

Learn how to implement and train a U-Net model for animal segmentation using TensorFlow and Keras in this comprehensive tutorial. Dive into data preprocessing, U-Net architecture design, model training, and evaluation. Follow along as you load and prepare the dataset, construct the U-Net model, train it with optimized parameters, and perform inference on test images. Gain practical experience in computer vision and deep learning techniques while working on a real-world animal segmentation task.

Intro !!!!!!!
The U-net architecture
Download the dataset and prepare the data
Build The U-net model
Train the model
Test the model with new fresh images