Microsoft Azure AI Fundamentals AI-900 Practice Question
A logistics company wants to implement a system that can identify and locate damaged packages in images captured by surveillance cameras in their warehouses.
Which type of computer vision solution is the most suitable for this requirement?
Object Detection is the appropriate solution because it not only recognizes objects within an image but also determines their locations by drawing bounding boxes around them. This allows the system to both identify damaged packages and pinpoint where they are in each image.
Image Classification could determine if an image contains a damaged package but cannot locate it within the image.
Optical Character Recognition (OCR) is used for extracting and interpreting text from images, which is not applicable in this scenario.
Facial Detection focuses on identifying human faces and would not be useful for detecting packages.
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Why is Object Detection better suited than Image Classification for this scenario?
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What technologies enable Object Detection to locate objects within an image?
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How does Object Detection ensure accuracy when identifying damaged packages in images?
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Computer Vision Workloads on Azure
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