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You are working on an application that needs to analyze a large dataset of images containing various objects, such as animals, vehicles, and buildings. The application should be able to detect objects in the images and generate descriptive tags for each image. Additionally, you need to extract text from the images, including both printed and handwritten text. Which Azure AI Vision features would you use, and how would you structure the image processing request to optimize the performance and accuracy of the object detection, tagging, and text extraction process?
A
Use the 'Detect Objects' feature for object detection, the 'Generate Image Tags' feature for tagging, and the 'Extract Text from Images' feature for text extraction, and include all available image analysis features in the request.
B
Use the 'Generate Image Tags' feature for object detection and tagging, and the 'Convert Handwritten Text' feature for text extraction, and include only the necessary image analysis features in the request.
C
Use the 'Generate Image Tags' feature for object detection and tagging, and the 'Extract Text from Images' feature for text extraction, and include only the necessary image analysis features in the request.
D
Use the 'Detect Objects' feature for object detection, and the 'Convert Handwritten Text' feature for text extraction, and include all available image analysis features in the request.