Introduction
Welcome
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What you should know
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Using the exercise files
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1. The Basics
Introduction
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Set up the Node.js project
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Add TypeScript debugging support
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Add helper code and demonstrate debugging
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2. Describing, Categorizing, and Tagging
Provision Vision API in Azure and configure project
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Write code to describe an image using the Vision API
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Run the code to describe an image using the Vision API
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Returning multiple descriptions
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Defining the analysis business object
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Writing the analyze method
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Using the analyze method to describe an image
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Tags and categories
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3. Performing Deeper Analysis
Analyzing colors
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Identifying line drawing and clip art vs. real pictures
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Identifying adult vs. racy content
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Generating thumbnails
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4. Working with Models
Recognizing celebrities
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Recognizing landmarks
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5. Handwriting and OCR
Set up the Node.js project
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Submit an image for handwriting or OCR
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Polling for status of submitted image
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Synchronous treatment for OCR
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Performing OCR
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Performing handwriting recognition
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6. Working with Faces
Recognize faces using the Vision API
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Provision the Emotion API and update the project
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Making code changes to analyze emotions
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Recognizing emotions for multiple pictures
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Provision the Face API and update the project
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7. Identifying People
Recognizing faces: The theory
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Set up your project
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Set up your sample dataset
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Read the dataset
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Organize your code and explain what you need to do
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Create a person group
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Delete or train the person group
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Create a person and add a face
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Add detection and identification functions
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Create a person group using helper classes
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Train a person group
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Detecting and identifying a person
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Run code and delete the person group
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Ex_Files_MSFT_Cognitive_Services_Dev_1.zip
(12.0 MB)