Data annotation is the process of labelling data to make it understandable for machine learning models.
Data annotation involves adding labels or tags to raw data, such as text, images or audio, to provide context that enables machine learning algorithms to understand and learn from the data.
This process is critical in training AI models to recognise patterns and make accurate predictions.
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