Microsoft Cognitive Services for Developers: 1 Vision

Learn how to use Microsoft Cognitive Services to embed AI in your applications. This course covers the vision APIs for text, image, and facial recognition.

Introduction

• Welcome
• What you should know
• Using the exercise files

1. The Basics

• Introduction
• Set up the Node.js project
• Add TypeScript debugging support
• Add helper code and demonstrate debugging

2. Describing, Categorizing, and Tagging

• Provision Vision API in Azure and configure project
• Write code to describe an image using the Vision API
• Run the code to describe an image using the Vision API
• Returning multiple descriptions
• Defining the analysis business object
• Writing the analyze method
• Using the analyze method to describe an image
• Tags and categories

3. Performing Deeper Analysis

• Analyzing colors
• Identifying line drawing and clip art vs. real pictures
• Identifying adult vs. racy content
• Generating thumbnails

4. Working with Models

• Recognizing celebrities
• Recognizing landmarks

5. Handwriting and OCR

• Set up the Node.js project
• Submit an image for handwriting or OCR
• Polling for status of submitted image
• Synchronous treatment for OCR
• Performing OCR
• Performing handwriting recognition

6. Working with Faces

• Recognize faces using the Vision API
• Provision the Emotion API and update the project
• Making code changes to analyze emotions
• Recognizing emotions for multiple pictures
• Provision the Face API and update the project

7. Identifying People

• Recognizing faces: The theory
• Set up your project
• Set up your sample dataset
• Read the dataset
• Organize your code and explain what you need to do
• Create a person group
• Delete or train the person group
• Create a person and add a face
• Add detection and identification functions
• Create a person group using helper classes
• Train a person group
• Detecting and identifying a person
• Run code and delete the person group

Conclusion

• Next steps