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AI-900: Custom Vision vs Computer Vision: How to Detect Objects in Images with Azure AI

Learn how to use Custom Vision to build, deploy, and improve your own image classifiers and detect objects in images with Azure AI. Compare Custom Vision with Computer Vision and understand the differences between them.

Question

You have built a solution that detects objects in images. You are using the same endpoint and key to predict as you used when you trained the model. What type of service are you using?

A. Cognitive Service
B. Computer Vision
C. Custom Vision

Answer

C. Custom Vision

Explanation

The simplest approach is to use a general Cognitive Services resource for both training and prediction.

The correct answer is C. Custom Vision.

Custom Vision is a service that allows you to build, deploy, and improve your own image classifiers. You can use Custom Vision to detect objects in images by creating a custom model that is trained on your own data. You can then use the same endpoint and key to predict as you used when you trained the model. This means that you are using a custom vision prediction resource, which is a type of Azure Cognitive Services resource that enables you to use your custom models to get predictions from new images.

Cognitive Service is a general term that refers to a collection of AI services and cognitive APIs that enable developers to build intelligent applications. Computer Vision is a specific service within Cognitive Services that provides pre-trained models for analyzing and understanding images. You cannot use Computer Vision to detect objects in images with your own custom model, as it only supports the built-in models that are provided by the service.

Therefore, the best option for building a solution that detects objects in images with your own custom model is Custom Vision.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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