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Answer: Use the 'Extract Text from Images' feature and apply custom models to extract key information from the documents.
Option C is the correct answer. The 'Extract Text from Images' feature is suitable for extracting key information from various types of documents. By applying custom models trained on a dataset of documents, you can optimize performance and accuracy. Option A is incorrect because including all available features may not be necessary and could increase processing time. Option B is incorrect because the 'Generate Image Tags' feature is not suitable for extracting information from documents. Option D is incorrect because the 'Convert Handwritten Text' feature is not relevant to the task of extracting information from documents.
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You are tasked with developing an image processing application that needs to analyze a large dataset of images containing various types of documents, such as passports, driver's licenses, and ID cards. The application should be able to detect and extract key information from these documents. 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 extract key information from the documents.
D
Use the 'Convert Handwritten Text' feature and combine it with custom machine learning models to extract key information from the documents.