AI engineering glossary · ML fundamentals
What is annotation?
Annotation (also called Data labelling): The process of attaching labels or other information to raw data, such as tagging images, marking spans of text or rating responses. It is usually done by people following written guidelines, and its consistency and cost strongly affect supervised projects.
Annotation: an example
Annotators mark each of 5,000 customer reviews as positive, neutral or negative following a one-page guide.
Related terms
More ML fundamentals terms
- Baseline model
- Bayesian information criterion
- Bias error
- Bias-variance tradeoff
- Classification
- Concept drift
- Cost-sensitive learning
- Covariate shift
Where you learn it
Annotation is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.