Project settings

Enterprise

There are many more possible controls and configurations available for Label Studio Enterprise users. For more information on those options, see Project settings in Label Studio Enterprise.

General

Use these settings to specify some basic information about the project.

Field Description
Project Name Enter a name for the project.
Description Enter a description for the project.
Color You can select a color for the project. The project is highlighted with this color when viewing the Projects page.
Task Sampling
  • Sequential sampling–Tasks are shown to annotators in the same order that they appear on the Data Manager
  • Random sampling–Tasks are shown in random order.

Labeling interface

The labeling interface is the central configuration point for projects. This determines how tasks are presented to annotators.

For information on setting up the labeling interface, see Labeling configuration.

Instructions

Specify instructions to show the users as they annotate task. This field accepts HTML formatting.

Enable Show before labeling to display a pop-up message to users when they enter the label stream.

If disabled, users will need to click the Show instructions action at the bottom of the labeling interface.

Machine learning

Click Add Model to connect an machine learning (ML) backend to your project. For more information about using ML backends, see Machine learning integration.

ML-Assisted Labeling
Field Description
Start model training after any annotations are submitted or updated Triggers the connected ML backend to start the training process each time an annotation is created or updated.
Retrieve predictions when loading a task automatically When enabled, Label Studio automatically fetches predictions from the connected ML backend for each task as it is loaded by a user. This means that when a user navigates to a new task, Label Studio sends a request to the ML backend to retrieve any available predictions for that task, which are then displayed to the user.

When disabled, someone must manually retrieve predictions. This can be done in using the Actions menu in the Data Manager.
Show predictions to annotators in the Label Stream and Quick View When enabled, predictions are shown to users during the labeling process. This is enabled by default.

Disable this option to hide predictions from users. For example, you might want to hide predictions to prevent bias.
Model Version

If you have multiple versions, you can select which version is used to generate predictions.

Cloud storage

This is where you connect Label Studio to a cloud storage provider:

  • Source Cloud Storage–This is where the source data for your project is saved. When you sync your source storage, Label Studio retrieves data to be annotated.
  • Target Cloud Storage–This is where your annotations are saved. When you sync your target storage, annotations are sent from Label Studio to the target storage location.

For more information, see Sync data from external storage.

Webhooks

You can use webhooks to integration third-party applications. For more information, see Set up webhooks in Label Studio and our integrations directory.

Danger Zone

From here, you can access actions that result in data loss, and should be used with caution.

  • Drop All Tabs

    If the Data Manager is not loading, dropping all Data Manager tabs can help.

  • Delete Project

    Deleting a project permanently removes all tasks, annotations, and project data from Label Studio.