According to the Microsoft Azure AI Fundamentals study guide and Microsoft Learn module “Identify features of computer vision workloads”, computer vision is an AI workload that allows systems to interpret and understand visual information from the world, such as images and videos.
Computer vision tasks typically include:
Object detection and image classification (e.g., detecting brands, logos, or items in images)
Image analysis (e.g., identifying colors, patterns, or visual features)
Face detection and recognition
Optical Character Recognition (OCR) for reading text in images
Therefore, both detecting brands and detecting color schemes in an image are clear examples of computer vision tasks because they involve analyzing visual content.
In contrast:
A. Predict stock prices → Regression task, not vision-based.
D. Translate text between languages → Natural language processing (NLP).
E. Extract key phrases → NLP as well.
Thus, the correct computer vision tasks are B and C.
[Reference:Microsoft Learn – Identify features and uses of computer vision in Azure AI services, , , , ]
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