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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 and classifying various objects in images, including geographical features. 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 'Extract Text from Images' is not suitable for classifying geographical features. Option D is incorrect because 'Convert Handwritten Text' is not relevant to the task of analyzing satellite images.
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You are tasked with developing an image processing application that needs to analyze a large dataset of satellite images to detect and classify various geographical features such as forests, rivers, and urban areas. 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 classify the geographical features.
D
Use the 'Convert Handwritten Text' feature and combine it with custom machine learning models to detect and classify the geographical features.