Processing images to get returned information based on the visual features you’re interested in can seem like a difficult task. Luckily Azure Computer Vision gives you access to advanced algorithms that make this achievable. In this course, Getting Started with Microsoft Azure Computer Vision API, you’ll learn how to leverage those functionalities and integrate them into your organization. First, you’ll explore how to talk to Computer Vision API. Next, you’ll discover how to get image metadata like Faces and Face landmarks easily. Finally, you’ll learn how to describe images attributes; like landmarks, famous people or brands. When you’re finished with this course, you’ll have the skills and knowledge of Computer vision in Azure needed to apply Computer vision algorithms with Azure into your applications easily.
Author Name: Axel Sirota
Author Description:
Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O’Reilly Media.

Table of Contents

• Course Overview
  1min
• Meet the Computer Vision API
  9mins
• Retrieving Image Metadata
  22mins
• Identifying Special Attributes in Images
  13mins