Changelog

New features

Flexible label configuration support for Prompts

Previously, the projects that you could use with Prompts were limited to relatively simple labeling configurations (for example, only having one set of Choices or one set of Labels).

With this change, you can now use complex projects with Prompts. For example, project with multiple Choices, Labels, and a combination of both. It also adds support for TextArea and Pairwise control tags.

Also as part of this change, you will no longer be asked to select a project Type when creating a new Prompt.

For more information, see Create a Prompt.

Export information from the annotator performance report

There is a new Export action available from the annotator performance dashboard.

• Report - Download the information in the dashboard as CSV or JSON.
• Timeline - Download a detailed timeline of all the user's annotation actions within the timeframe, including when the began and submitted each annotation.
• Comments Received - Download a CSV file with all of the comments that other users have left on the user's annotations.

Feature updates

Edit regions when classifying video frames

We recently introduced the ability to perform video frame classification with the <TimelineLabels> tag.

You now have the ability to edit the frame spans you select in the timeline editor, making it easier to control which frames you want to label.

Improved usability on project settings pages

There are a number of project settings that are only applicable when auto distribution is enabled for users.

To prevent confusion, settings that are not applicable will be hidden when manual distribution is enabled.

This means the following settings will be hidden when Annotation > Distribute Labeling Tasks is set to Manual:

• Annotation > Task Sampling
• Quality > Overlap of Annotations
• Quality > Low Agreement Strategy

Improved TextArea look and feel

TextArea elements have been update to reflect the look and feel of other labeling elements.

Improved error messages when using Send Test Request for connected ML backends

When using the Send Test Request action for a connected ML backend model, you will now see more descriptive error messages.

Bug fixes

• Fixed an issue in which in certain scenarios users were unable to receive a password reset email.
• Fixed an issue where project-level roles did not affect role upgrades performed at the Organization level.

New features

Use an LLM to help you draft Prompts

There is a new Enhance Prompt action available when writing a prompt.

You can use this feature to allow an LLM to enhance the prompt you already have, using your initial prompt and the tasks as context. For more information, see Draft and run prompts.

Feature updates

Estimate cost for Prompts

You will now see an estimated cost before running a prompt. This estimate is based on the number of tokens required:

Bug fixes

• Fixed an issue where links were not resolving when using multiple S3 storages.
• Fixed an issue where non-unicode symbols would cause the Activity Log page to not load.
• Fixed an issue that could produce duplicate accounts when synced from SCIM.
• Fixed an issue where instructions were not visible to reviewers in the Review Stream.
• Fixed an issue preventing linking comments to an audio field.
• Fixed an issue preventing linking regions in audio tasks.
• Fixed an issue where deleted annotator users were not available as option when building filters in the Data Manager.

New features

Link comments to fields

You can now link comments to specific regions or fields within an annotation.

This change will help improve clarity between Annotators and Reviewers, enhancing the quality review process.

For more information, see Comments and notifications.

Flexible reject options for reviewers

There is a new option on the Review page of the project settings: Allow reviewer to choose: Requeue or Remove.

When enabled, reviewers will see two reject options for an annotation: Reject (reject and remove the annotation from the queue) and Requeue (reject and then requeue the annotation).

This is useful for situations in which some annotations are incorrect or incomplete, but are acceptable with some fixes. In those cases, it may be more useful to send the task back to the annotator. In other cases, where the annotation is far from correct, it is better to remove it entirely.

For more information, see Project settings - Review.

Custom models for Prompts

You can now add a custom, self-hosted LLM to use with Prompts. This will allow you to use your fine-tuned models with your Prompts workflow.

Custom models must be compatible with OpenAI's JSON mode. For more information, see Model provider API keys.

Version control for Prompts

There is a new Save As option when saving a prompt. This allows you to save named versions of a prompt as you refine it.

You can select between saved versions to compare their metrics. You can also manage older versions by updating them, deleting them, or renaming them.

Feature updates

Enhanced Prompts evaluation metrics

When you run a prompt, you will now see the following metrics:

• Inference cost - The cost to run the prompt evaluation.
• F1 Score - Precision and recall scores for the prompt. (Ground truth data sets only)

For more information, see Draft and run prompts.

Hotkey to show/hide all regions

A new hotkey (Ctrl + h) has been added. Use this shortcut to hide all regions. Or, if no regions are visible, show all regions.

Bug fixes

• Fixed a small UI issue seen when displaying drop-down menus with multiple nested selection options.
• Fixed an issue where users were shown a 500 error when attempting to create a project without first selecting a workspace.
• Fixed an issue where the application would crash when annotators who have also had a project role of Reviewer would navigate to the Data Manager.

New features

Video frame classification

You can now apply labels to video frames. Previously, we only supported per-video classification.

This new feature allows you to apply labels at a per-frame level. You can implement this feature using a new tag: <TimelineLabels>.

For more information, see New! Video Frame Classification.

Named Entity Recognition projects for Prompts

You can now select NER projects when creating a Prompt. Previously, Prompts only supported Text Classification projects.

For more information, see Named entity recognition (NER) in our Prompts documentation.

Feature updates

• When creating regions that have start and end times (such as when annotating sections of an audio track), you will now see the duration of your selection under the Info tab.

• The Projects page header has been updated with a more compact design:
  
  - The search bar, projects drop-down menu, and create actions have all been consolidated onto one line.
  
  - The Use Template action has been moved and is now available as a drop-down option within the Create Project button.
  
  - For better clarity, the Use Template action has been renamed Create from saved template.
  

• You will now see a progress bar when performing searches against the activity log to indicate that the search is still processing.
• For better clarity, the Sandbox workspace has been renamed Personal Sandbox.

Bug fixes

• Fixed a regression issue with BigInteger support in the Data Manager.
• Fixed an issue with the Activity Logs page where some options would become unavailable.

New features

JavaScript for labeling customization

You can now add JavaScript to your Label Studio projects to further customize your labeling experience.

Note that due to security precautions, custom scripts must be enabled for your organization before will see the Scripts option when configuring the labeling interface. Contact your account representative to request this feature.

For more information, see the following resources:

• Custom scripts documentation
• HumanSignal Blog - Transform Your Labeling Workflow with Custom Scripts
• Video demo - Announcing Custom Scripts for Label Studio

Feature updates

You can now use Azure OpenAI when creating Prompts. For more information, see Model provider API keys.

Bug fixes

• Fixed an issue where users were seeing a runtime error when loading the dashboard in situations in which the project’s labeling configuration did not include labels.

New features

Introducing the Prompts tool

The Prompts tool leverages ChatGPT to help you evaluate and refine your LLM prompts. You can also use Prompts to generate predictions for automating your labeling process, and to quickly bootstrap labeling projects.

For more information, see Automate Data Labeling with HumanSignal and our Prompts documentation.

Refreshed Label Studio interface

The Label Studio UI has been upgraded with updated colors and fonts, giving it a sleek new look while maintaining the same intuitive navigation you're familiar with. All Label Studio tools, features, and settings are still in the same place, ensuring a smooth transition.

Feature updates

Improved performance on the Projects list page due to improvement on the API level.

Breaking changes

Fixed an issue with Google Cloud Storage when the connection has the Use pre-signed URLs option disabled. In these situations, Google was sending pre-signed URLs with the format https://storage.googleapis.com rather than sending BLOBs.

With this fix, Google Cloud Storage will begin returning BLOBs/base64 encoded data when Use pre-signed URLs is off. This means that Label Studio will start reading data from Google Cloud Storage buckets, which can result in large amounts of data being sent to your Label Studio instance - potentially affecting performance.

Bug fixes

• Fixed an issue where Redis storage connections were causing errors due to a missing field in the storage form (Storage Title).
• Fixed an issue where annotators were not being prompted to leave a comment when skipping a task, even though the project settings required them to do so.
• Fixed an issue where connected ML backends were unable to return more than one prediction per task.