: A great "recipe-style" tutorial for traditional computer vision methods. It uses the scikit-image library to demonstrate partitioning images into regions based on shared characteristics. Specialized & Advanced Use Cases
: A highly interactive notebook using the Oxford-IIIT Pet Dataset. It demonstrates how to use the U-Net architecture to classify every pixel into categories like "pet," "border," or "surrounding". image-segmentation-jupyter-notebook
: This comprehensive guide covers building and training a segmentation model from scratch. It focuses on the architectural details of U-Net and includes a walkthrough for creating custom PyTorch datasets. : A great "recipe-style" tutorial for traditional computer