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AI-102 · Question #120

Your company uses an Azure AI 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…

The correct answer is D. Change the detection model. Evaluate different models. The best way to compare the performances of the detection models is to use them on a sample dataset. We recommend calling the Face - Detect API on a variety of images, especially images of many faces or of faces that are difficult to see, using each…

Submitted by krish.m· Mar 30, 2026Implement computer vision solutions

Question

Your company uses an Azure AI 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?

Exhibit

AI-102 question #120 exhibit

Options

  • AUse a different version of the Face API.
  • BUse the Computer Vision service instead of the Face service.
  • CUse the Identify method instead of the Detect method.
  • DChange the detection model.

How the community answered

(33 responses)
  • A
    18% (6)
  • B
    6% (2)
  • C
    12% (4)
  • D
    64% (21)

Explanation

Evaluate different models. The best way to compare the performances of the detection models is to use them on a sample dataset. We recommend calling the Face - Detect API on a variety of images, especially images of many faces or of faces that are difficult to see, using each detection model. Pay attention to the number of faces that each model returns. The different face detection models are optimized for different tasks. See the following table for an overview of the differences. https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/specify-det

Topics

#Azure Face service#Face detection#Detection model#AI model configuration

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