Image classification refers to the task of assigning a label to an image. You can use ML.NET's powerful API to learn features from labeled images and then train a model that recognizes if an image contains any of the target classes.

Let's demonstrate how to perform image classification with ML.NET and then have some fun by incorporating the output model in a Rock, Paper, Scissors game where players use hand signals in front of a camera. The application takes the photo, sends it to the model, and returns the tag, which is in turn sent back to the application to determine the result.