Data annotation is the process of attaching descriptive information, labels, or tags to data without changing the underlying data itself. Annotated data helps machine learning systems understand, classify, or learn from examples such as text, images, audio, video, or records.
The process of labelling data to support machine learning algorithms to understand and classify it.