Data & Databases
Data annotation
Adding labels or metadata to data so it can be used for training or evaluation.
Example
Reviewers draw boxes around defects in images used to train a vision model.
Why it matters
It adds the guidance needed to teach or assess particular abilities.
You'll hear it
“The reviewers need a clearer rule for marking this case.”
Can you control it?
Set by the team
The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.
Common questions
- Can annotations include more than a category name?
- Yes. They can mark locations, passages or other details relevant to the task.
- Can an annotation reflect a judgment rather than a certain fact?
- Yes. Some tasks have ambiguity that should be recorded rather than hidden.
- Does hiring more annotators guarantee consistency?
- No. Shared instructions and quality checks still matter.