Data Labeling

Also known as: Data Labelling

Caesar AI Atlas Definition

Data labeling is the process of associating data samples with target values, categories, annotations, or correct answers. It creates training information for supervised learning and can apply to text, images, audio, video, tabular records, and other data types.

Other Definitions

Data Labeling Source

‘data labelling, in which datasets are labelled, which means that samples are associated with target variables.’ ISO/IEC 22989.

Also Referenced In

expert.ai — Glossary of AI Terms basebox — AI Glossary for Executives

Concept Comparisons

Common ConfusionMachine Learning

Data Annotation vs Data Labeling

A side-by-side comparison of Data Annotation and Data Labeling. Understand how descriptive enrichment of data relates to assigning target values or correct answers for machine learning.