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Exam AI-102 topic 2 question 16 discussion

Actual exam question from Microsoft's AI-102
Question #: 16
Topic #: 2
[All AI-102 Questions]

Your company uses an Azure Cognitive Services solution to detect faces in uploaded images. The method to detect the faces uses the following code.

You discover that the solution frequently fails to detect faces in blurred images and in images that contain sideways faces.
You need to increase the likelihood that the solution can detect faces in blurred images and images that contain sideways faces.
What should you do?

  • A. Use a different version of the Face API.
  • B. Use the Computer Vision service instead of the Face service.
  • C. Use the Identify method instead of the Detect method.
  • D. Change the detection model.
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Suggested Answer: D 🗳️
by Eltooth at July 18, 2022, 2:30 p.m.

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Eltooth
Highly Voted 2 years, 4 months ago
Selected Answer: D
D is correct answer : change the detection model. https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/how-to/specify-detection-model#evaluate-different-models
upvoted 12 times
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HaraTadahisa
Most Recent 5 months, 3 weeks ago
Selected Answer: D
I say this answer is D.
upvoted 1 times
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takaimomoGcup
6 months, 3 weeks ago
Selected Answer: D
I use detection_02 or detection_03.
upvoted 1 times
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evangelist
9 months, 4 weeks ago
Selected Answer: D
it contains sideway faces, so change face API detection model 03
upvoted 1 times
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rdemontis
1 year, 1 month ago
Selected Answer: D
answer is correct
upvoted 2 times
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zellck
1 year, 5 months ago
Selected Answer: D
D is the answer. https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/how-to/specify-detection-model#evaluate-different-models The different face detection models are optimized for different tasks. - detection_02 Improved accuracy on small, side-view, and blurry faces.
upvoted 4 times
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