Data annotation is the process of labeling or tagging data to provide context and meaning, making it understandable for machine learning models. This crucial step helps algorithms learn from data by defining what the data represents, thus enhancing the quality and accuracy of AI systems. Properly annotated data plays a vital role in training models to make accurate predictions or classifications.
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