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An AI practitioner has a database of animal photos. The AI practitioner wants to automatically identify and categorize the animals in the photos without manual human effort. Which strategy meets these requirements?
Explanation:
Option A is CORRECT because object detection is a computer vision technique that automatically identifies and categorizes objects within images, such as animals in photos. This strategy allows the AI practitioner to recognize different animals in the photos without requiring manual labeling or human effort.
Option B is INCORRECT because anomaly detection is used to identify data points that do not conform to the expected pattern, which is not applicable to the task of identifying and categorizing animals in photos.
Option C is INCORRECT because named entity recognition (NER) is a natural language processing technique used to identify entities like names, dates, and locations in text, not for analyzing images.
Option D is INCORRECT because inpainting is a technique used in image processing to fill in missing or corrupted parts of an image, not for identifying or categorizing objects within an image.