Adding Auto Annotator to a Project
The decision to utilize Auto Annotator for a Project must be made at Project creation. After a Project has been created, there is no way to retroactively add Auto Annotator to it, as the model will be added to the Project pipeline as a pre-Stage.
An example pipeline with Auto Annotator

Project creation with Auto Annotator
- The Auto Annotator toggle;
- Object Label mapping window;
- Model URL selection dropdown;
Mapping Object Labels
After you’ve enabled Auto Annotator in a Project, you must map the labels that the algorithm will generate to a corresponding entry in your Redbrick Taxonomy. Click on Map object labels to open the Mapping window.
The Mapping Window
- Choose which Auto Annotator sub-type you would like to use for this specific Project;
- Map the output of the designated model sub-type to the Object Labels of your Project’s Taxonomy;

Mapping model output
kidney_right
and kidney_left
are both mapped to a single RedBrick Object Label called Kidney
.

Selecting a Model
If you have multiple models integrated with RedBrick AI, you can use the dropdown field to select which model should run on this specific Project.Running Auto Annotator in a Project
Once your Project is created, any data that you upload or integrate to the Project will automatically pass through the Auto Annotator pre-Stage, where automated annotation will occur.
4 Tasks in the Auto Annotator pre-Stage

Task History of a Task that was labeled automatically