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.
Course info
Level
Beginner
Updated
Jul 14, 2021
Duration
46m
Table of contents
Description
Course info
Level
Beginner
Updated
Jul 14, 2021
Duration
46m
Description

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.

About the author
About the author

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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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi, everyone. My name is Axel Sirota. Welcome to my course, Getting Started with Microsoft Azure Computer Vision API. I am a Microsoft certified trainer, machine learning specialist, and I am very excited to present this to you. Azure Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in. 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. Our journey begins by discovering how to talk to the Computer Vision API. Next, we will discover how to get image metadata, like faces and face landmarks, easily. Finally, you'll learn to describe image attributes like landmarks, famous people, or brands. When you're finished with this course, you'll have the skills and knowledge of Computer Vision needed to apply Computer Vision algorithms with Azure into your applications easily. I hope you'll join me on this journey to learn Computer Vision with the Getting Started with Microsoft Azure Computer Vision API course, at Pluralsight.