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Image annotation is the process of labeling or tagging specific objects, regions, or features within an image to provide valuable information for machine learning algorithms. It plays a crucial role in training computer vision models for object recognition and analysis.

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Data annotation involves adding relevant metadata, tags, or labels to raw data, such as images, videos, text, or audio files. This process helps to create a structured and labeled dataset that can be used to train AI models to recognize patterns, classify objects, perform natural language processing, and make predictions based on the given input.

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