Data & Databases
Unlabeled data
Examples that do not have the task's correct answers or descriptions attached.
Example
A collection of photographs has no labels describing its contents.
Why people use it
It provides material to learn from when checked answers are scarce or expensive.
What you'll hear
“We have the pictures, but nobody has labeled them.”
What this means for you
Match the learning method to the information actually available.
Can you control it?
Developer-only
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 people add labels later?
- Yes. They can review selected examples and attach answers when a task needs clearer guidance.
- Can people label just part of the collection?
- Yes. Some learning methods combine a small labeled portion with a larger unlabeled one.
- Does unlabeled mean anonymous?
- No. Missing answer labels does not mean that names or other personal information have been removed.