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MLS-C01 · Question #286

A beauty supply store wants to understand some characteristics of visitors to the store. The store has security video recordings from the past several years. The store wants to generate a report of…

The correct answer is A. Use an object detection algorithm to identify a visitor's hair in video frames. Pass the identified. To identify hair style and color from video recordings with minimal effort for an hourly report, the store should leverage a pre-trained service like Amazon Rekognition for facial analysis.

Modeling

Question

A beauty supply store wants to understand some characteristics of visitors to the store. The store has security video recordings from the past several years. The store wants to generate a report of hourly visitors from the recordings. The report should group visitors by hair style and hair color. Which solution will meet these requirements with the LEAST amount of effort?

Options

  • AUse an object detection algorithm to identify a visitor's hair in video frames. Pass the identified
  • BUse an object detection algorithm to identify a visitor's hair in video frames. Pass the identified
  • CUse a semantic segmentation algorithm to identify a visitor's hair in video frames. Pass the
  • DUse a semantic segmentation algorithm to identify a visitor's hair in video frames. Pass the

How the community answered

(21 responses)
  • A
    76% (16)
  • B
    5% (1)
  • C
    5% (1)
  • D
    14% (3)

Why each option

To identify hair style and color from video recordings with minimal effort for an hourly report, the store should leverage a pre-trained service like Amazon Rekognition for facial analysis.

AUse an object detection algorithm to identify a visitor's hair in video frames. Pass the identifiedCorrect

Amazon Rekognition's pre-trained deep learning models can automatically detect faces in video frames and extract attributes like hair color and style without requiring custom model training, thus meeting the requirements with the least development effort.

BUse an object detection algorithm to identify a visitor's hair in video frames. Pass the identified
CUse a semantic segmentation algorithm to identify a visitor's hair in video frames. Pass the

Semantic segmentation, while precise for pixel-level classification, requires significantly more effort in terms of custom model training and inference compared to using a pre-trained, managed service like Amazon Rekognition for attribute extraction.

DUse a semantic segmentation algorithm to identify a visitor's hair in video frames. Pass the

Concept tested: Amazon Rekognition for video analysis and facial attributes

Source: https://docs.aws.amazon.com/rekognition/latest/dg/face-attributes.html

Topics

#Object Detection#Semantic Segmentation#Computer Vision#ML Model Selection

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