Predicting the content category of an image - This is the correct answer. Image classification involves assigning a label or category to an image based on its content. For example, an image classification solution might categorize an image as "cat," "dog," or "car" based on the objects it contains.
Identifying and locating objects within an image - This describes object detection, not image classification. Object detection involves both identifying objects and locating them within the image (often with bounding boxes), while classification only assigns a category label.
Extracting text from images for text analysis - This is Optical Character Recognition (OCR), which is focused on extracting text from images, not classifying the entire image into categories.
Detecting facial features to analyze emotions - This is facial recognition or emotion detection, which focuses on detecting and analyzing facial features, often for applications like identifying emotions or individuals, but it is not image classification.
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Computer Vision Workloads on Azure
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