Computer Vision in Microsoft Azure

Microsoft via Coursera

Coursera based on 105 ratings

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Overview

In Microsoft Azure, the Computer Vision cognitive service uses pre-trained models to analyze images, enabling software developers to easily build applications"see" the world and make sense of it. This ability to process images is the key to creating software that can emulate human visual perception. In this course, you'll explore some of these capabilities as you learn how to use the Computer Vision service to analyze images. This course will you prepare for Exam AI-900: Microsoft Azure AI Fundamentals. This...

Syllabus

Analyze and Classify Images with the Computer Vision Service

The Computer Vision cognitive service uses pre-trained models to analyze images, enabling software developers to easily build applications. In this module, you'll explore some of its capabilities as you learn how to use the Computer Vision service to analyze images.

Detect objects in images with the Custom Vision service

Image classification is a common workload in artificial intelligence (AI) applications. In this module, you will learn how to harnesses the predictive power of machine learning to enable AI systems to identify real-world items based on images.

Analyze Faces, Text, and Receipts with Azure AI

Face detection, analysis, and recognition is an important capability for artificial intelligence (AI) solutions. The Face cognitive service in Azure makes it easy integrate these capabilities into your applications. Optical character recognition (OCR) enables artificial intelligence (AI) systems to read text in images, enabling applications to extract information from photographs, scanned documents, and other sources of digitized text. Processing invoices and receipts is a common task in many business scenarios. Increasingly, organizations are turning to artificial intelligence (AI) to automate data extraction from scanned receipts. In this module, you will learn how you can use a mix of these services in Microsoft Azure to solve problems.