Data annotation is the process of identifying raw data and adding one or more meaningful and informative labels to provide context so that a machine learning model can learn from it. For example, labels might indicate whether a photo contains a bird or car and which words were uttered in an audio recording. Data labeling is required for various use cases, including computer vision, natural language processing, and speech recognition.
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