May 2025
Beginner to intermediate
228 pages
6h 4m
English
Content preview from Azure AI Fundamentals (AI-900) Study Guide
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Chapter 6. Features of Computer Vision Workloads on Azure
In this chapter, we’ll cover the essentials of computer vision, a core area of AI that represents 15%–20% of the exam content. This technology enables you to harness Microsoft Azure’s suite of tools designed to “see” and interpret the world through data. We’ll start with an overview of key computer vision solutions, techniques, and foundational concepts. Then, we’ll dive into how Azure approaches image classification, object detection, OCR, and facial analysis. We’ll examine these topics in greater depth, incorporating hands-on examples along the way.
Computer Vision Services for Azure
When you’re diving into computer vision on Azure, you’ve got several options to explore, each catering to different goals and levels of customization:
- Azure AI Vision
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If your focus is only on computer vision, Azure AI Vision is built precisely for that. It’s got all the tools you need to handle visual data, analyze images and videos, and pull useful insights. Let’s say you’re developing a system for a parking garage that needs to track available spaces and detect unauthorized vehicles through camera feeds. Azure AI Vision gives you a dedicated, powerful toolkit to tackle visual processing tasks like these with options to help you manage your budget along the way.
- Azure AI Services
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If you’re interested in tapping into multiple AI capabilities beyond computer vision—translation or search, for example—Azure AI Services is your go-to. Think ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.