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Exam AI-900 topic 1 question 243 discussion

Actual exam question from Microsoft's AI-900
Question #: 243
Topic #: 1
[All AI-900 Questions]

You need to identify street names based on street signs in photographs.

Which type of computer vision should you use?

  • A. object detection
  • B. optical character recognition (OCR)
  • C. image classification
  • D. facial recognition
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️

Comments

Chosen Answer:
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henryphchan
4 days, 1 hour ago
Selected Answer: B
Identify street name -> OCR
upvoted 4 times
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Alex_W
4 days, 8 hours ago
Selected Answer: A
To identify street signs you should use object detection. OCR is the second step.
upvoted 3 times
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smosmo
1 month, 3 weeks ago
To identify street names based on street signs in photographs, you should use optical character recognition (OCR). OCR technology enables computers to recognize and extract text from images, making it suitable for reading and interpreting text on street signs.
upvoted 1 times
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SolaiKannanR
2 months ago
according to copilot answer is ocr
upvoted 2 times
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wolf1024
2 months, 1 week ago
Selected Answer: B
answer is B, needs to extract text from signs
upvoted 3 times
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SriniVish
4 months, 2 weeks ago
Key word is Street Names so it is Image Classifications
upvoted 1 times
SriniVish
4 months, 2 weeks ago
Sorry I meant OCR - B is correct answer
upvoted 3 times
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Mouminster
4 months, 2 weeks ago
Answer is A
upvoted 1 times
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Freelf
4 months, 2 weeks ago
Most people have voted for OCR, but the signs are not always text.
upvoted 2 times
349d305
2 weeks, 2 days ago
Its specifically states Street Names = text, so answer is B.
upvoted 1 times
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gpt_test
5 months, 2 weeks ago
Selected Answer: B
B. optical character recognition (OCR) OCR is specifically designed to identify and read printed or handwritten text within images, which is necessary for extracting street names from photographs of street signs. Incorrect Options: A. Object detection: While this could identify the presence of a street sign in an image, it wouldn't read the text on the sign. C. Image classification: This would categorize the image but not provide the detailed text information from the street signs. D. Facial recognition: This is used for identifying and verifying individuals from images or video frames, not for text extraction.
upvoted 2 times
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Castiel
6 months, 1 week ago
Selected Answer: B
Reading text from images is OCR
upvoted 1 times
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PeteColag
6 months, 3 weeks ago
Selected Answer: B
OCR - to read the text from the signs. Don't need object detection for this.
upvoted 1 times
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schlaumeier
7 months, 2 weeks ago
too many wrong answers for an AI-900 test preparation, like this one
upvoted 4 times
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kd333200
7 months, 2 weeks ago
Selected Answer: B
Answer B - OCR
upvoted 1 times
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MOK4A
7 months, 2 weeks ago
Selected Answer: B
it's an OCR problem
upvoted 2 times
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Certification_Champs
7 months, 3 weeks ago
Selected Answer: B
B. optical character recognition (OCR) To identify street names based on street signs in photographs, you should use **optical character recognition (OCR)**. OCR technology is designed to recognize and extract text from images, making it the most appropriate choice for extracting text content from street signs. Options A, C, and D are not specifically designed for text extraction and analysis but rather for object recognition, image classification, and facial recognition, respectively.
upvoted 2 times
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WannaBeDataEngineer
8 months, 1 week ago
B-OCR, because you are extracting test from images by identifying the characters.
upvoted 2 times
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Mehmetfarhan
8 months, 2 weeks ago
Selected Answer: B
Ocr , b
upvoted 1 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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