Data labeling — Data labeling is the work of tagging examples with the correct answers, such as marking which emails are spam or what objects appear in a photo. Labeled data is needed for supervised learning. Much of this work is done by people, often at large scale. Careful labeling improves model accuracy.

Added October 21, 2026