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Exam AWS Certified Machine Learning - Specialty topic 1 question 219 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 219
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

A sports analytics company is providing services at a marathon. Each runner in the marathon will have their race ID printed as text on the front of their shirt. The company needs to extract race IDs from images of the runners.

Which solution will meet these requirements with the LEAST operational overhead?

  • A. Use Amazon Rekognition.
  • B. Use a custom convolutional neural network (CNN).
  • C. Use the Amazon SageMaker Object Detection algorithm.
  • D. Use Amazon Lookout for Vision.
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Suggested Answer: A 🗳️
by drcok87 at Feb. 11, 2023, 12:36 a.m.
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Mickey321
8 months, 3 weeks ago
Selected Answer: A
Amazon Rekognition can handle large-scale and high-quality images with low latency and high accuracy. You can use Amazon Rekognition to process images from various sources, such as cameras, webcams, or media files. You can also use Amazon Rekognition to process images in real time or in batch mode.
upvoted 1 times
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Valcilio
1 year, 2 months ago
Selected Answer: A
It's A, rekgonition has methods to do text detection.
upvoted 3 times
angus
1 year, 1 month ago
https://aws.amazon.com/rekognition/
upvoted 3 times
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GiyeonShin
1 year, 2 months ago
Selected Answer: A
OCR : Amazon Rekognition
upvoted 2 times
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AjoseO
1 year, 2 months ago
Selected Answer: A
Rekognition's Text Detection feature allows you to easily extract text from images and videos without the need to create a custom model or perform complex training. It's a fully managed service that provides accurate and scalable text detection, recognition, and analysis capabilities. Additionally, Rekognition provides a simple API and SDKs for integrating text detection functionality into your applications. https://docs.aws.amazon.com/rekognition/latest/dg/text-detection.html?pg=ln&sec=ft
upvoted 1 times
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drcok87
1 year, 2 months ago
a - LEAST operational overhead
upvoted 1 times
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