Microsoft Azure AI Fundamentals AI-900 Practice Question
A company wants to implement an AI solution that can automatically detect and classify objects within images to assist in automating their product inventory process.
Which type of AI workload is BEST suited for this task?
Object Detection is the appropriate AI workload for detecting and classifying multiple objects within an image. It not only identifies the presence of objects but also provides their locations by drawing bounding boxes around them.
Image Classification assigns a single label to an entire image, which is insufficient when multiple objects need to be identified and classified individually.
Semantic Segmentation labels every pixel in an image, which is more detailed than necessary for this task and is computationally more intensive.
Optical Character Recognition (OCR) is used to extract text from images, which is not applicable in detecting and classifying objects in images.
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How does Optical Character Recognition (OCR) differ from Object Detection in terms of use case?
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Microsoft Azure AI Fundamentals AI-900
Describe Artificial Intelligence Workloads and Considerations
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