Assigns one or more labels to an entire image based on its content - This is the correct answer. The primary function of an image classification solution is to assign one or more labels to an entire image based on its overall content. For example, it can classify an image as "cat," "dog," or "car" based on what is depicted in the image, without identifying specific object locations within the image.
Detects and localizes individual objects within an image - This describes object detection, which not only identifies objects but also locates them within the image using bounding boxes, whereas image classification only assigns labels to the whole image.
Extracts textual information from images - This describes Optical Character Recognition (OCR), which focuses on extracting and recognizing text from images, not classifying the entire image.
Analyzes facial features to identify individuals - This describes facial recognition, which focuses on identifying and analyzing faces within an image, not general image classification.
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Computer Vision Workloads on Azure
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