by Peter Rombouts | Released April 2019 | ISBN: 9781838557263

Train and build custom models using Computer Vision and Custom Vision, and detect and identify people using the Face APIAbout This VideoExperience the power of machine learning with Azure Cognitive vision servicesLevel-up your skills as a developer and build efficient solutions using visual dataReal-world solutions to help you implement your own modelsIn DetailAzure Cognitive Services helps you build smart, secure, and more efficient models for your business needs. Data dependency has gradually increased over the past few years; every business is looking to utilize its available data to create more optimized solutions. Azure Cognitive Services will help you detect, moderate, and classify visual data as per your needs.In this course, you will learn how to configure Cognitive Services and use its vision capabilities to describe, tag, and categorize images; identify clip art as opposed to line art; moderate content; read text and handwriting; and recognize facial characteristics such as age, gender, emotions, hair color and type, and more. You will also learn how to build a facial recognition program that can recognize people in images by comparing them to a library of known individuals.By the end of this course, you will be confident enough to use face, text, image recognition, and image classification to help you build your own business with Azure Cognitive Services.Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/Implementing-Azure-Cognitive-Services-for-Vision. If you require support please email: [email protected] Show and hide more

1. Chapter 1 : Getting Started with Vision Cognitive Services
   • The Course Overview 00:03:57
   • Introduction to the Vision Cognitive Services 00:03:12
   • Vision Cognitive Services APIs 00:06:57
   • Content Moderation 00:03:50
   • Video Indexer Possibilities 00:02:34
2. Chapter 2 : Recognize and Identify Persons with the Face API
   • Face API 00:03:38
   • Detecting Faces in Images 00:07:20
   • Building a Library of Known Persons 00:07:38
   • Verifying Faces like in Windows Hello 00:08:03
   • Identifying Persons in a Known Group of Persons 00:03:53
   • Create an Application to Detect and Verify Faces 00:10:14
3. Chapter 3 : Recognition of Images Using the Computer Vision API
   • Computer Vision API 00:03:14
   • Analyze Images and Identify Objects 00:06:47
   • Read Text (OCR) in Images 00:05:56
   • Create an Application to Tag and Annotate Images 00:07:18
4. Chapter 4 : Recognition of Images Using the Custom Vision API
   • Custom Vision API 00:03:14
   • Setting Up Your Custom Vision Account 00:02:14
   • Uploading, Tagging, and Training 00:10:10
   • Create an Application to Implement Prediction 00:08:22
   • Create and Export a Custom Vision Model 00:06:29
5. Chapter 5 : Moderate Images and Detect Unwanted Visuals
   • Content Moderation Service 00:02:02
   • Setup the Content Moderation Review Tool 00:01:27
   • Upload and Test Text Moderation 00:04:02
   • Evaluate Images on Racy and Adult Content 00:04:09
   • Using Your Custom Lists for Moderating Content 00:05:01
   • Create the Serverless App to Leverage All Trained Content 00:06:33
   • Using Review Tool to Update and Train Your Models 00:10:34
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