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Getting Started with Microsoft Azure Computer Vision API

Azure's Computer Vision service gives you access to advanced algorithms that process images and return visual features you're interested in. This course will teach you how to leverage those functionalities into your organisation.

Axel Sirota - Pluralsight course - Getting Started with Microsoft Azure Computer Vision API
by Axel Sirota

What you'll learn

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.

Table of contents

About the author

Axel Sirota - Pluralsight course - Getting Started with Microsoft Azure Computer Vision API
Axel Sirota

Axel Sirota has a Masters degree in Mathematics with a deep interest in Deep Learning and Machine Learning Operations. After researching in Probability, Statistics and Machine Learning optimization, he is currently working at JAMPP as a Machine Learning Research Engineer leveraging customer data for making accurate predictions at Real Time Bidding.

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