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AI-900: Detecting Image Color Schemes with Azure AI Vision

Learn how to detect image color schemes with Azure AI Vision. Analyze the colors in an image to provide three different attributes: the dominant foreground color, the dominant background color, and the larger set of dominant colors in the image.

Table of Contents

Question

Detecting image color schemes is a capability of Computer vision service. True or False?

A. True
B. False

Answer

A. True

Explanation

Computer Vision service has additional capabilities, such as detecting image color schemes.

Yes, detecting image color schemes is a capability of the Computer Vision service. Therefore, the answer to the question is True. The Computer Vision service can analyze the colors in an image and provide three different attributes: the dominant foreground color, the dominant background color, and the larger set of dominant colors in the image. The set of possible returned colors is: black, blue, brown, gray, green, orange, pink, purple, red, teal, white, and yellow. The service can also extract an accent color, which represents the most vibrant color in the image, based on a combination of the dominant color set and saturation. The accent color is returned as a hexadecimal HTML color code (for example, #00CC00). Additionally, the service can also determine whether the image is a black-and-white image.

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