Microsoft Azure AI Fundamentals AI-900 Practice Question
A logistics company wants to develop a system that can automatically count and locate various types of packages in images captured by warehouse cameras.
Which type of computer vision solution is most appropriate for this task?
Object Detection is the appropriate solution because it can identify and locate multiple instances of objects (packages) within an image by providing bounding boxes around them.
Image Classification would only provide a single label for the entire image, without information on individual object locations.
Semantic Segmentation labels each pixel in the image and is more detailed than necessary for counting and locating objects.
Optical Character Recognition (OCR) is used for extracting text from images and is not relevant in this scenario.
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What are the differences between Object Detection and Image Classification?
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What is the role of Semantic Segmentation in computer vision, and why isn't it suitable for counting packages?
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Computer Vision Workloads on Azure
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