A Guide to Data Labeling and Annotating: Importance, Types, and Best Practices

Data is a vital part of making informed decisions for businesses and organizations across a range of industries today. Nevertheless, raw data alone is rarely sufficient for deriving insights and guiding decision-making. By providing context and structure to raw data, annotations, and labels help make sense of it.

The annotation of data refers to the addition of metadata or descriptive information to raw data, such as images, videos, or texts. Data can be categorized and organized using labels, tags, or captions. Annotated data can be labeled manually or automatically to make it easier to interpret and utilize by assigning specific attributes or values.