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Microsoft AI-900 Exam - Topic 4 Question 4 Discussion

Actual exam question for Microsoft's AI-900 exam
Question #: 4
Topic #: 4
[All AI-900 Questions]

You need to develop a mobile app for employees to scan and store their expenses while travelling.

Which type of computer vision should you use?

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Suggested Answer: D

Azure's Computer Vision API includes Optical Character Recognition (OCR) capabilities that extract printed or handwritten text from images. You can extract text from images, such as photos of license plates or containers with serial numbers, as well as from documents - invoices, bills, financial reports, articles, and more.


https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-recognizing-text

by Carin at May 03, 2022, 04:39 PM

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Mitsue
5 months ago
OCR seems like the best fit, but I'm curious about the others!
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Steffanie
5 months ago
Really? I thought semantic segmentation would be more useful for this.
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Omer
5 months ago
Wait, why not object detection? It could help with identifying items too.
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Harrison
5 months ago
Totally agree, OCR is perfect for text extraction!
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Salena
5 months ago
I think optical character recognition (OCR) is the way to go for scanning receipts.
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Mel
5 months ago
I’m leaning towards image classification, but it seems like OCR would be the best fit for extracting text from receipts.
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Celestine
5 months ago
I practiced a question similar to this, and I feel like semantic segmentation is more for dividing images into parts, not really for scanning expenses.
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Milly
5 months ago
I think we might need to use OCR since we’re dealing with scanning receipts, right?
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Marti
6 months ago
I’m not entirely sure, but I remember something about object detection being useful for identifying specific items in images.
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Leonora
6 months ago
The Designer view seems like the logical choice for performing drag and drop actions. That's my best guess.
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Slyvia
6 months ago
Hmm, I'm not sure about this one. I'll need to carefully read through the code and think it through step-by-step to figure out the expected behavior.
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