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.
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.
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. He's a well-known specialist in the Enterprise Content Management market segment, specifically focusing on data capture & extraction and document process automation.
Course Overview Hi everyone. My name is Eduardo Freitas, and welcome to my course, Microsoft Cognitive Services: Computer Vision API. I'm a software developer and a data capture specialist. Computer vision is at the forefront of artificial intelligence and one of the coolest and most useful APIs within the Microsoft Cognitive Services offering. Have you ever spent hours manually typing in data from a paper source onto a digital form, or spent hours categorizing and tagging images one by one? With the Computer Vision API, you'll be able to easily use state-of-the-art computer vision technology and learn how to solve these problems with little code. With this amazing API, it is possible to analyze free text, including hand-written text, and identify objects and images, such as landmarks, celebrities, and nature tags. You will gain a fundamental know-how of this API that will change the way you work with images forever. This course will also help you move forward with your overall understanding of the Microsoft Cognitive Services suite. Some of the major topics that we'll cover include image classification and identification, thumbnail generation, optical character recognition, handwriting recognition, and finally, watching these technologies and principles getting applied. By the end of this course, you'll know how the Computer Vision API works, and be able to create code that uses it. Before beginning the course, you should have some basic knowledge of C#, Azure, and API endpoints, as well as being able to find your way around Visual Studio. I hope you'll join me on this journey to learn the ins and outs of the Computer Vision API course at Pluralsight.
Understanding the Core Aspects of the Computer Vision API Hi, my name is Eduardo, and in this course we will explore Microsoft Cognitive Services, specifically the Computer Vision API. This module is the first of a series of modules focusing on understanding the core aspects of the Computer Vision API in order to build a stronger foundation for the modules to come. By the end of this module, you should have a good overview of how this API works. So let's get started.
Image Classification, Identification, and Thumbnail Generation We'll now explore image classification and identification, as well as thumbnail generation. By the end of this module, you'll have a good understanding of how the Computer Vision API is able to classify and identify images, and you'll also learn how it can create thumbnails based on a region of interest. It's a broad topic, so let's get started.
Text Recognition and Extraction We'll now explore how the Computer Vision API is able to perform text recognition and extraction. By the end of this module, you'll have a good understanding of how the Computer Vision API is able to extract and recognize text in a digital format, as well as perform handwriting recognition. So let's get started.