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AI-900: Efficient Runner Identification: Choosing the Right Computer Vision

Uncover the best computer vision approach for reading runner numbers in race photos. Explore options like facial recognition, optical character recognition (OCR), semantic segmentation, and object detection. Optimize your photo processing for precise runner identification in your race event images.

Question

You are processing photos of runners in a race.
You need to read the numbers on the runners’ shirts to identity the runners in the photos.
Which type of computer vision should you use?

A. facial recognition
B. optical character recognition (OCR)
C. semantic segmentation
D. object detection

Answer

B. optical character recognition (OCR)

Explanation

Optical character recognition (OCR) allows you to extract printed or handwritten text from images and documents.

The correct answer is B. optical character recognition (OCR). OCR is a type of computer vision that can extract text from images and convert it into a machine-readable format. OCR can be used to read the numbers on the runners’ shirts and identify the runners in the photos. OCR can also handle different fonts, sizes, orientations, and languages of text.

The other options are not suitable for this task because:

  • A. facial recognition is a type of computer vision that can identify and verify the identity of a person based on their facial features. Facial recognition can be used to recognize the faces of the runners, but not the numbers on their shirts.
  • C. semantic segmentation is a type of computer vision that can divide an image into regions and assign a label to each region based on its semantic meaning. Semantic segmentation can be used to separate the runners from the background, but not to read the numbers on their shirts.
  • D. object detection is a type of computer vision that can locate and classify objects in an image. Object detection can be used to find the runners and their shirts in the image, but not to read the numbers on their shirts.

Reference

Microsoft Learn > Azure > Cognitive Services > Computer Vision > OCR – Optical Character Recognition

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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