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Practical Guide to Azure Cognitive Services

You're reading from   Practical Guide to Azure Cognitive Services Leverage the power of Azure OpenAI to optimize operations, reduce costs, and deliver cutting-edge AI solutions

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781801812917
Length 454 pages
Edition 1st Edition
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Authors (3):
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Andy Roberts Andy Roberts
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Andy Roberts
Chris Seferlis Chris Seferlis
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Chris Seferlis
Christopher Nellis Christopher Nellis
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Christopher Nellis
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Toc

Table of Contents (22) Chapters Close

Preface 1. Part 1: Ocean Smart – an AI Success Story
2. Chapter 1: How Azure AI Changed Ocean Smart FREE CHAPTER 3. Chapter 2: Why Azure Cognitive Services? 4. Chapter 3: Architectural and Cost Optimization Considerations 5. Part 2: Deploying Next-Generation Knowledge Mining Solutions with Azure Cognitive Search
6. Chapter 4: Deriving Value from Knowledge Mining Solutions in Azure 7. Chapter 5: Azure Cognitive Search Overview and Implementation 8. Chapter 6: Exploring Further Azure Cognitive Services for Successful KM Solutions 9. Chapter 7: Pulling It All Together for a Complete KM Solution 10. Part 3: Other Cognitive Services That Will Help Your Company Optimize Operations
11. Chapter 8: Decluttering Paperwork with Form Recognizer 12. Chapter 9: Identifying Problems with Anomaly Detector 13. Chapter 10: Streamlining the Quality Control Process with Custom Vision 14. Chapter 11: Deploying a Content Moderator 15. Chapter 12: Using Personalizer to Cater to Your Audience 16. Chapter 13: Improving Customer Experience with Speech to Text 17. Chapter 14: Using Language Services in Chat Bots and Beyond 18. Chapter 15: Surveying Our Progress 19. Chapter 16: Appendix – Azure OpenAI Overview 20. Index 21. Other Books You May Enjoy

Applying the service to image moderation

There are three primary functions for the image moderation feature of the Content Moderator service:

  • Adult or racy content: For detecting whether the content is sexual or suggestive in terms of mature material.
  • OCR on text: For detecting and identifying whether text within an image being scanned contains any of the content listed earlier in the text filtering section.
  • Facial recognition: For detecting how many faces appear in an image and where they are located within the image. This can be used for counting how many people are gathered – for instance, where capacity limitations are present or in other situations of that type.

Because this feature of the service is built similarly for the Text API, we will only provide brief examples and descriptions of how the service works.

For our API request, we will send our URL in the following, familiar format:

https://{endpoint}/contentmoderator/moderate/v1.0/ProcessImage...
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