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Learn ML.NET image classification in C#. Train, evaluate, and use a deep learning model to classify images step by step. Start building today! ML.NET image classification lets .NET developers build production-ready computer vision models without leaving C#. If you have ever wanted to train a model that can tell a cat from a dog, detect defective parts on an assembly line, or sort product photos automatically, this tutorial is for you. In this guide you will learn how to perform ML.NET image classification in C# from scratch — loading images, applying transfer learning, training a deep learning model, evaluating accuracy, and using the trained model to make predictions on new images. ML.NET is Microsoft's open-source, cross-platform machine learning framework for .NET. It runs on Windows, Linux, and macOS, integrates directly with ASP.NET Core and console apps, and ships a high-level Image Classification API built on top of TensorFlow. That means you get GPU-accelerated de...