When something does zero-shot image classification, that means it’s able to make judgments about the contents of an image without the user needing to train the system beforehand on what to look ...

For instance, for the dog vs. cat image classification example, you could input an image and see the results in the Evaluate step of Model Builder." In addition to image classification, ML.NET is used ...

Driverless cars, for example, use computer vision and image recognition to identify pedestrians, signs, and other vehicles. For a deeper dive into computer vision check out the following: ...

When evaluating an image classification model, Shared Interest compares the model-generated saliency data and the human-generated ground-truth data for the same image to see how well they align.