Data annotation is the process of labelling data available in various formats like text, video or images so that machines can use it. When preparing data for a Machine Learning model, poor quality annotations can result in poor model performance.
With the help of correct tools and approaches, labelled data sets are needed to find repeating patterns in annotated data. When the machine algorithm processes sufficient annotated data, it can detect similar patterns when receiving additional unannotated data.
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