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Answer: Use the 'Extract Text from Images' feature and apply a custom model trained on a dataset containing both printed and handwritten text.
Option A is the correct answer. To handle both printed and handwritten text in images, you would need a custom model trained on a dataset containing both types of text. This would ensure the accuracy of the extracted text. Option B is incorrect because a model trained only on handwritten text would not be able to accurately extract printed text. Option C is incorrect because a pre-built model optimized for printed text extraction may not perform well on handwritten text. Option D is incorrect because a pre-built model optimized for handwritten text recognition may not be able to accurately extract printed text.
Author: LeetQuiz Editorial Team
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You are working on an application that needs to analyze images and extract text from them. The images contain a mix of printed and handwritten text. Which Azure AI Vision feature would you use to handle this scenario, and how would you ensure the accuracy of the extracted text?
A
Use the 'Extract Text from Images' feature and apply a custom model trained on a dataset containing both printed and handwritten text.
B
Use the 'Convert Handwritten Text' feature and apply a custom model trained on a dataset containing only handwritten text.
C
Use the 'Extract Text from Images' feature and apply a pre-built model optimized for printed text extraction.
D
Use the 'Convert Handwritten Text' feature and apply a pre-built model optimized for handwritten text recognition.
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