Get started with a project

To create a new project, press the "Create Project" button on the Projects page. There are a few simple steps to creating and setting up a project.

Creating a project

Create project page

Specify a unique project name

Each project has a unique name that can be changed at any time within Project Settings.

Select the taxonomy for the project

Taxonomies are stored at the Organization level. This allows you to reuse the same labeling taxonomy across projects.
Once you select a taxonomy for your project, you cannot change the taxonomy. However, you can edit your taxonomy after using it in a project.

Define your project workflow

Project workflows allow you to explicitly define a series of annotation and review steps in your project. You can configure the number of review stages and the review percentage (randomly select a subset of data for review) in your workflow. Once data has successfully gone through all stages of the workflow, it will be stored in the ground truth stage.
A common pattern used is to have a single annotation stage, followed by two Review stages where different sets of reviewers validate the annotations performed.
When a reviewer rejects a task in a review stage, it is sent back to the label stage and automatically assigned to the same annotator who annotated it the first time.
The number of review stages cannot be modified after the workflow has been created.

Additional project set up

Once you have successfully created a project, you will most likely want to perform the following actions to add collaborators and data and modify project settings.

Adding labelers to your project

All admins have access to all projects by default. You can manually add Labelers to individual projects and assign them as Labelers or Reviewers. Please read the following section for more details:

Uploading data

You can upload data within a project either through the UI or CLI/SDK. Most teams will integrate external storage and host their own data, however, you can also directly upload data to RedBrick AI servers.
If you have pre-annotated data, or model-generated annotations, you can import them using our CLI/SDK.

Assigning tasks

Once you have uploaded data to your project, RedBrick AI will begin automatically assigning tasks to the users in your project. Please read more about task assignment here: