Demo: Custom Vision Service

The video tutorial covers the use of custom vision service, focusing on creating and using cognitive services for image classification. It demonstrates how to train a model with images of apples, bananas, and oranges, and tests the model's accuracy. The tutorial also explains the process of publishing the model and using it in applications. Additionally, it introduces object detection as another feature of custom vision.

What are the key components required to set up a cognitive service for custom vision?

What are the two types of custom vision services mentioned in the lesson?

What is the significance of performance metrics in evaluating a trained model?

How can you test the accuracy of a trained model in custom vision service?