Release notes

App

Added

• The new Labelbox Microsoft Entra application allows you to install a verified version of the Labelbox Enterprise application into your Azure tenant. To learn how this works, see these docs.
• The Performance tab in Annotate now contains an option to enable outlier detection metrics. These metrics highlight and bucket labelers who are outliers in key areas for quick remediation.
• Customers who want to connect their own models to Labelbox now have a self-serve, product-integrated UI to bring their own models for LLM, classification, text, and NER use cases. Bounding boxes and masks will still require manual onboarding for the time being. To learn more, see our docs on Custom model integration.
• The new Monitor page is now available for Enterprise customers. The Monitor contains charts, tables, and filters to display project and member performance across workspaces. It also contains new bulk actions and outlier detection metrics. To learn more, see our Monitor docs.

Changed

• Asset proxy (the feature that hides raw data row URLs from being exposed in the platform) is now supported for all project types. To request access to this feature, contact our support team.

Python SDK

To view the latest updates to our Python SDK, see the What's new section in the developer guides.