Microsoft Azure Cognitive Services: Computer Vision API
Microsoft Azure Cognitive Services: Computer Vision API is a state-of-the-art service provided by Microsoft through Azure that enables developers to analyze and retrieve information from images in a very simple way and with little code.
What you'll learn
Manually typing in data from a paper source onto a digital form or spending hours categorizing and tagging images one by one is tedious work and is unnecessary thanks to Microsoft's Computer Vision API. In Microsoft Azure Cognitive Services: Computer Vision API, you'll learn how to easily use state-of-the-art computer vision technology to solve these problems with little code. First, you'll learn to analyze images, read text (including hand-written text), and identify objects in images— such as landmarks, celebrities and nature tags. Next, you'll explore how to access this API, the type of data it is meant to analyze, and utilize its full potential in real-world scenarios. Finally, this course will help you move forward with your overall understanding of the Microsoft Cognitive Services Suite. By the end of this course, you'll have gained a fundamental knowledge of this API that will change your way of working with images forever.
Table of contents
- Introduction 0m
- Overview 1m
- Accessing the API 3m
- Demo - How to Access the API 3m
- Thumbnails and ROIs 2m
- API Methods - Thumbnail Generation 3m
- Demo - Quick Thumbnail Example 3m
- Use Case - HappyPics 2m
- Demo - Smart Thumbnail Generation 5m
- Tagging Images 1m
- Categorizing Images 2m
- Identifying Image Types and Quality 2m
- Domain Specific Content 2m
- Flagging Adult Content 0m
- Generating Descriptions 1m
- Perceiving Color Schemes 1m
- Detecting Human Faces 0m
- API Methods - Image Classification 4m
- Demo - Smart Image Analysis 6m
- Summary 1m
- Introduction 0m
- Overview 0m
- What Is Optical Character Recognition (OCR) 1m
- Requirements and Limitations 2m
- API Methods - OCR 1m
- Use Case - DocLogistics 1m
- Demo - Text Recognition 7m
- What Is Handwriting Recognition 1m
- Handwriting Requirements 1m
- API Methods - Handwriting 2m
- Demo - Handwriting Recognition 4m
- Specific Field Logic 1m
- Demo - Adding Field Logic 7m
- Summary 1m
About the author
Eduardo is a technology enthusiast, software architect and customer success advocate. He's designed enterprise .NET solutions that extract, validate and automate critical business processes such as Accounts Payable and Mailroom solutions for all types of organizations. He's designed and supported production systems for global names such as Coca Cola, Enel, Pirelli, Fiat-Chrysler, Xerox and many others. He's a well-known specialist in the Enterprise Content Management market segment, specifically... more