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.
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.
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Alex Lim
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
