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Answer: Use the 'Generate Image Tags' feature and include only the necessary image analysis features to reduce processing time.
Option B is the correct answer. The 'Generate Image Tags' feature is suitable for detecting clothing items in images and generating descriptive tags. By including only the necessary image analysis features in the request, you can optimize performance and accuracy without unnecessary processing. Option A is incorrect because including all available features may not be necessary and could increase processing time. Option C is incorrect because the 'Extract Text from Images' feature is not suitable for detecting clothing items. Option D is incorrect because the 'Convert Handwritten Text' feature is not relevant to the task of analyzing clothing items in images.
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You are developing an image processing application that needs to analyze a large dataset of images containing various types of clothing items, such as shirts, pants, and dresses. The application should be able to detect the clothing items in the images and generate descriptive tags for each image. Which Azure AI Vision feature would you use to meet this requirement, and how would you structure the image processing request to optimize performance and accuracy?
A
Use the 'Detect Objects' feature and include all available image analysis features in the request.
B
Use the 'Generate Image Tags' feature and include only the necessary image analysis features to reduce processing time.
C
Use the 'Extract Text from Images' feature and apply custom models to detect the clothing items.
D
Use the 'Convert Handwritten Text' feature and combine it with custom machine learning models to detect the clothing items.
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