Discover the optimal computer vision technique, such as OCR, semantic segmentation, object detection or facial recognition, for accurately identifying runners by reading the numbers on their shirts in race photos. Find the best approach for your runner identification needs.
Table of Contents
Question
You are processing photos of runners in a race and need to read the numbers on the runners’ shirts to identify the runners in the photos. Which type of computer vision should you use?
A. optical character recognition (OCR).
B. semantic segmentation.
C. object detection.
D. facial recognition.
Answer
To read the numbers on runners’ shirts in race photos and accurately identify the runners, the best type of computer vision to use is optical character recognition (OCR).
A. optical character recognition (OCR).
Explanation
OCR is a computer vision technique that enables software to recognize and extract text from images. It works by analyzing the patterns of light and dark in an image to identify shapes that resemble letters and numbers, and then converting those into machine-readable text.
In this scenario, OCR could be used to locate and read the numbers printed on each runner’s shirt in the race photos. The extracted number could then be matched against a database to identify which runner corresponds to each number.
The other computer vision techniques mentioned would be less suitable for this specific task:
- Semantic segmentation partitions an image into multiple segments and labels each segment, but doesn’t extract text.
- Object detection locates and classifies objects in an image, but also doesn’t perform text extraction.
- Facial recognition identifies individuals by their facial features, but the runners’ faces may not be clearly visible and wouldn’t contain their identification numbers.
Therefore, optical character recognition (OCR) is the optimal approach for reading identification numbers off of runners’ shirts in order to determine their identities from race photographs. Its text extraction capabilities make it uniquely well-suited for accurately converting the shirt numbers to a format that can be used to look up the corresponding individuals.
OCR is specifically designed to read and extract text from images, making it suitale for identifying the numbers on runner’s shirts
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