Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learning Microsoft Cognitive Services

You're reading from   Learning Microsoft Cognitive Services Create intelligent apps with vision, speech, language, and knowledge capabilities using Microsoft Cognitive Services

Arrow left icon
Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781786467843
Length 372 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Leif Larsen Henning Larsen Leif Larsen Henning Larsen
Author Profile Icon Leif Larsen Henning Larsen
Leif Larsen Henning Larsen
Arrow right icon
View More author details
Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started with Microsoft Cognitive Services FREE CHAPTER 2. Analyzing Images to Recognize a Face 3. Analyzing Videos 4. Letting Applications Understand Commands 5. Speak with Your Application 6. Understanding Text 7. Extending Knowledge Based on Context 8. Querying Structured Data in a Natural Way 9. Adding Specialized Searches 10. Connecting the Pieces Appendix A. LUIS Entities and Intents 1. Appendix B. Additional Information on Linguistic Analysis 2. Appendix C. License Information

Learning what an image is about using Computer Vision API

The Computer Vision API allows us to process an image and retrieve information about it. It relies on advanced algorithms to analyze the content of the image in different ways, based on our needs.

Throughout this part of the chapter, we will learn how to take advantage of this API. We will look at the different ways to analyze an image through standalone examples. Some of the features we will cover will also be incorporated into our end-to-end application in a later chapter.

Calling any of the APIs, will return one of the following response codes:

Code

Description

200

Information of the extracted features in JSON format

400

Typically, this means bad request. It may be an invalid image URL, too small or too large image, invalid image format, or otherwise errors around the request body.

415

Unsupported media type

500

Possible errors may be a failure to process the image, image processing timed out, or there is an internal...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image