Practice Tools Used (19.3.3) - Applications of Computer Vision

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6 sample questions

Question 1.
What does OCR stand for?
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Think about what OCR does.
Question 2.
Name one tool used in OCR.
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Recall the tools we discussed.
3Question 3.
What does Tesseract OCR primarily do?
- Recognizes faces
- Converts images to text
- Analyzes video
- Detects scenes
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Consider what OCR stands for.
4Question 4.
Is Google Vision API only for OCR?
- True
- False
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Remember, it does more than just text recognition.
Question 5.
How would you design a system using Tesseract OCR to help a small business digitize their invoices? Outline the steps and components you would include.
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Think about the whole process from capture to storage.
Question 6.
In a scenario where you have both Tesseract and Google Vision API at your disposal, how would you decide which to use for a project focusing on historical document preservation?
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Evaluate project needs like customization versus additional features.

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