In practice, data labeling and annotation are often used interchangeably. However, they differ slightly.
Data labeling refers to assigning one or more labels to an asset, indicating what each piece of data represents or how it should be categorized.
Data annotation, however, refers to the broader process of adding information to a dataset beyond just simple labels.