Learning Objectives - Describe Features of Computer Vision Workloads on Azure (15-20%)

The video tutorial covers the learning objectives of a module on computer vision workloads. It begins with an overview of various computer vision features such as image classification, object detection, and facial recognition. The tutorial then explores how to implement these features using Azure's pre-trained models and services, including the Computer Vision and Face services. For applications with specific needs, the Custom Vision service is introduced, allowing users to train their own models. The module includes numerous demos and examples to illustrate these concepts.

What are the different features of computer vision workload discussed in the module?

What types of applications can benefit from the features of computer vision discussed in the module?

How can Azure be utilized for implementing computer vision tasks?

Can you explain the difference between pre-trained models and custom models in computer vision?

What is the purpose of the custom vision service mentioned in the module?