- Get started
- Label Studio features
- Billing & Usage
- Release notes
Security and Privacy
- Secure Label Studio
Install and Upgrade
- Install and upgrade Label Studio
- Database setup
- Start Label Studio
Deploy and Install Enterprise
- Install Label Studio Enterprise
- Set up persistent storage
- Set up an ingress controller
- Install with Docker
- Deploy on Kubernetes
- Install on airgapped server
- Install on Amazon EKS
- Available Helm values
- Set up user accounts
- Manage access
- Set up authentication
- Import data
- Import pre-annotations
- Cloud storage setup
Labeling and Projects
- Project setup
- Manage data
- Set up your labeling interface
- Label and annotate data
- Review annotations
- Annotation statistics
- Custom agreement metric
- Export annotations
Machine Learning Setup
- Machine learning integration
- Write your own ML backend
- ML Examples and Tutorials
- Active learning loop
- Troubleshoot machine learning
- Webhook Setup
- Webhooks Event Reference
- Custom Webhooks
- Python SDK Tutorial
- Backend API
- Frontend library
- Frontend reference
- Update scripts and API calls
Manage data for your labeling project
You can also take steps to manage your data, such as assigning annotators to tasks in Label Studio Enterprise, or deleting tasks and annotations if needed.
In Label Studio Community Edition, the data manager is the default view for your data. In Label Studio Enterprise, click Data Manager to open and view the data manager page. Every row in the data manager represents a labeling task in your dataset.
With filters and tabs, you can split data into different sections to be labeled by different annotators, or set up data in a particular order to perform labeling according to prediction score, or another value in your data.
When you filter or sort the data before you label it, you modify which tasks and the order of the tasks you see when labeling. While task sampling affects the task order for an entire project and can’t be changed, filtering and sorting tasks can be changed at any time.
Sort the data in your project by date to focus on labeling the newest data first.
- In a project, update the Order of the data from the default to Created at.
- Update the order of the items to be in ascending order, so the newest items appear first.
- Select Label Tasks As Displayed to start labeling tasks from newest to oldest.
You can sort the data in your project by prediction score if you upload pre-annotated data with prediction scores, or if your machine learning backend produces prediction scores as part of the model output.
- In a project, update the Order of the data from the default to use the Prediction score field.
- Update the order of the items in either ascending or descending order to label based on higher confidence or lower confidence predictions.
- Select Label Tasks As Displayed to start labeling tasks in prediction score order.
You can also use task sampling to use prediction score ordering.
If you want to label a large dataset, you might want to use tabs and filters to split it up into smaller sections, and assign different annotators to different tabs. You can’t assign annotators to specific tasks in Label Studio Community Edition, but you can rename the tabs after specific annotators as a way to basically assign tasks using tabs.
For example, you might split a dataset with 300 images into 3 different tabs, and have different annotators focus on each tab:
- In a project, create a filter where the ID field is between the values “1” and “100”. Click away from the filter to review filtered items the tab.
- Click the vertical ellipsis for the tab and select Rename. Name it after a specific annotator that you want to focus on the items in that tab.
- Click the + icon to create a new tab. Click the vertical ellipsis for the new tab and select Rename to name it after a second annotator.
- On the new tab, create a filter where the ID field is between the values “101” and “200”. Click away from the filter to review the filtered items on the tab.
- Click the + icon to create a new tab. Click the vertical ellipsis for the new tab and select Rename to name it after a third annotator.
- On the new tab, create a filter where the ID field is between the values “201” and “300”. Click away from the filter to review the filtered items on the tab.
- Any annotator can log in and navigate to the relevant tab for their work and click the Label button to start labeling the subset of tasks on their tab.
You can create tabs on the data manager to split your dataset for labeling, to separate tasks by status (annotated, predicted, unlabeled), or other reasons.
Tabs that you create depend on your labeling configuration setup, because the labeling configuration defines the data fields available for filtering and sorting.
If you make changes to the labeling configuration, any tabs in your data manager are removed. Finish project setup before setting up complex tabs in the Data Manager.
In Label Studio Enterprise, if you’re an administrator or project manager, you can assign annotators to tasks in a specific project. After you add the annotator to the project or workspace, assign the annotator to specific tasks. You must assign annotators to tasks if you’re using manual task distribution.
- For a specific project, select tasks on the Data Manager.
- Select the dropdown and choose Assign Annotators.
- Select names of annotators and click the
>arrow to assign them to the selected tasks.
- Click Assign.
If you want to bulk assign tasks, you can use filters to identify exactly the tasks that you want to assign, then select the top checkbox on the data manager to select all tasks shown and assign them to an annotator.
If you have duplicate tasks, or want to remove annotations, you can delete tasks and annotations from Label Studio.
- In Label Studio UI, open the project you want to update.
- Filter the Data Manager page to show only the data you want to delete. For example, specific annotations, or tasks annotated by a specific annotator.
- Select the checkboxes for the tasks or annotations that you want to delete.
- Select the dropdown with the number of tasks, and choose Delete tasks or Delete annotations.
- Click Ok to confirm your action.
If you want to make changes to the labeling interface or perform a different type of data labeling, first select all the annotations for your dataset and delete the annotations.