Before You Train a U-Net - Car Segmentation Tutorial

This comprehensive tutorial guides you through building a U-Net model for car image segmentation using PyTorch. Learn the complete workflow from dataset preparation to model deployment with the Carvana segmentation challenge as a practical example. Master how to construct a U-Net architecture from scratch, train it effectively, and perform inference on both single and multiple test images. The 39-minute video breaks down complex concepts into manageable chapters covering introduction, installation requirements, model architecture, training procedures, and inference techniques. Access the complete code through the provided link and explore additional computer vision and image segmentation resources available through the creator's blog and playlists. Perfect for developers looking to implement advanced image segmentation techniques before embarking on their own U-Net projects.