This is the code repository for Implementing Azure Cognitive Services for Vision [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
Implementing Azure Cognitive Services for Vision helps you to build smart, secure and more efficient models for your business needs. Data dependency as gradually increased over the past few years, every business is looking to utilize their available data to create more optimized solutions for themselves. Azure cognitive services for vision 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 the vision capabilities to describe, tag, and categorize images; identify clip art vs. line art; moderate content; "read" text and handwriting; and recognize facial characteristics such as age, gender, its 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 persons. By the end of this course, you will be confident and be able to use face recognition, text & image recognition along with image classification and use them helping to build your own business usage with Azure Cognitive Services.
- Configure Cognitive Services and apply Machine Learning functionalities
- Master Cognitive Services' Vision APIs on Microsoft Azure
- Identify (and differentiate between) clip art and line art
- Moderate content and read text and handwriting from images
- Integrate image prediction and model training functionalities
- Recognize facial characteristics such as age, emotions, and hair color/type
To fully benefit from the coverage included in this course, you will need:
● Basic Azure portal knowledge
● Familiarity with GitHub for source control
● Basic programming skills (C#)
● A IDE (Visual Studio Code or preferably Visual Studio 2019)
● Basic understanding of Docker
This course has the following software requirements:
● An IDE like Visual Studio Code or Visual Studio 2019
● Docker installed on your machine (for video 4.5 on Custom Vision)
● Postman for testing APIs (any other type of API test tool will also be fine, like curl)
● Azure account
This course has been tested on the following system configuration:
● OS: Windows 10
● Processor: Quad Core 3.0 Ghz
● Memory: 8GB
● Hard Disk Space: 2GB
● Video Card: 256MB Video Memory