Glossary
Data annotation
Quick answer
Adding labels or metadata to raw data so models can learn from it.
Examples include tagging intents in support chats or marking defects in images. Expert annotation is often costly and valuable.
Why Data annotation matters when licensing company data to AI
Data annotation adds labels or metadata to raw records so a model can learn from them, such as tagging the intent of a support chat or marking defects in an inspection photo. When a business archive is licensed, existing labels or corrections may be needed before buyers can use it. Expert annotation is often costly, so buyers ask how the labels in a dataset were made.
- 01Your work records
- 02Personal details removed
- 03You approve the release
- 04Licensed to AI developers
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