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Microsoft

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Computer vision is an area of artificial intelligence (AI) in which software systems are designed to perceive the world visually, though cameras, images, and video.

 

There are multiple specific types of computer vision problem that AI engineers and data scientists can solve using a mix of custom machine learning models and platform-as-a-service (PaaS) solutions - including many cognitive services in Microsoft Azure.

 

The following Microsoft Learn modules will take you a tour of the Microsoft Cognitive Services solutions. You will get hands on with code using a Visual Studio Online environment based on the http://github.com/MicrosoftDocs/ai-fundamentals code repository.


Each lab provides a hosted instance of Visual Studio Code, in which you'll be able to run the notebooks for the lab exercises. and undertake some hands on labs building cognitive services solutions based on the following exercises.

 

The Computer Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios.

 

Classify images with the Custom Vision service https://docs.microsoft.com/en-us/learn/modules/classify-images-custom-vision 

Image classification is a common workload in artificial intelligence (AI) applications. It harnesses the predictive power of machine learning to enable AI systems to identify real-world items based on images.

 

Detect objects in images with the Custom Vision service https://docs.microsoft.com/en-us/learn/modules/detect-objects-images-custom-vision 

Object detection is a form of computer vision in which artificial intelligence (AI) agents can identify and locate specific types of object in an image or camera feed.

 

Detect and analyze faces with the Face service https://docs.microsoft.com/en-us/learn/modules/detect-analyze-faces 

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.

 

Read text with the Computer Vision service https://docs.microsoft.com/en-us/learn/modules/read-text-computer-vision 

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.

 

Analyze receipts with the Form Recognizer service https://docs.microsoft.com/en-us/learn/modules/analyze-receipts-form-recognizer 

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.

 

1 Comment
Frequent Contributor

Thanks for the information on how to start learning the AI fundamentals.