Release Note September 2024

Labelbox Updates
1

Labelbox’s September 5th, 2024 update includes several new features and improvements:

App

Added

  • Now, you can subscribe to email notifications for the following:
    1. When labelers are assigned to (or unassigned from) a project
    2. When an issue is created, resolved, or commented on
    3. When a batch of data rows is added to a project or has been labeled
      To manage email notifications, go to your user profile in the app UI.

Changed

  • The Multimodal chat editor has a new and improved UI. Key changes include:
    1. When ranking, selecting, and classifying, the turn remains horizontal.
    2. Instead of a left side panel, each turn is self-contained with its own tasks and classifications.
  • When you create new workflow tasks, you now have more task filters to choose from:
    Issue category, Dataset, Batch, Metadata, Model prediction, Labeling time, Review time, Natural language, and Label feedback.
  • When you add task filters to workflow tasks, you can select “Match: Any” to apply OR logic or “Match: All” to apply AND logic to the filters.
  • You will see an updated flow when requesting labeling services via the UI.

Removed

  • Export v1 has been sunsetted for all customers.

Python SDK Version 3.77.1 (2024-08-28)

Fixed

  • Restored client.headers.

Python SDK Version 3.77.0 (2024-08-09)

Added

  • Added labeling_service.request(), which validates all project requirements and requests a labeling service. See Labeling Workforce.
  • Added the is_benchmark_reference flag that supports importing ground truth labels as benchmarks. See import annotations guides for example payloads.

Updated

  • get_labeling_service() now automatically requests labeling service if none has been used on a project. See Labeling Workforce.

Removed

  • BREAKING CHANGE: Removed Project.labeling_frontend.disconnect(). Now you can only have one default labeling front end per project and can’t disconnect it.
  • BREAKING CHANGE: Removed the experimental method project.request_labeling_service(). See Labeling Workforce for the latest approach.

For more details, visit the Labelbox changelog.

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