April 2, 2024

Release notes



  • You can now filter and sort by custom metrics at the prediction level in the Model runs view. This new filter capability supports autogenerated metrics as well as custom metrics at the prediction level. To learn more, see Filters.
  • When you enter the Schema tab, you'll see a new tab for Embeddings. In this part of the app, you can view all of your autogenerated and custom embeddings for your organization. Here, you can also create custom embeddings via the UI. See Embeddings to learn more about the Embeddings subtab.
  • You can now add PDFs as attachments to data rows via the PDF_URL attachment type. To view an example of importing a PDF as an attachment, see Attachments.
  • If you are a new user and do not have any data in the Catalog yet, Labelbox will show a zero-state screen with guidance on how to add data rows.
  • If you are a new user and do not have any projects in Annotate yet, Labelbox will show a zero-state screen with guidance on how to create your first project.
  • Foundry now includes support for Claude 3 Opus and Google Gemini 1.5 Pro.
  • The new inferencing endpoints (beta) enable you to run any Foundry app to generate predictions on your data via a REST API. You can use this REST API to 1) pass raw data without creating data rows or a dataset, 2) pass raw data and specify which dataset to create the data row, or 3) pass a specific data row that has already been created in Labelbox. To learn more, see our docs on Foundry apps.


  • When you import PDFs as data rows, you no longer need to specify the text_layer_url as Labelbox now automatically generates the text layers when you import PDF assets. This means you no longer need to create the text layers and include them when importing PDF assets.
  • We now render the image overlay attachments in the order they were created. This means they are no longer randomly ordered when you view them in the editor.
  • Now when you click on a relationship edge in the editor, the relationship will be selected in the objects panel. If the relationship has a subclassification, the subclassification will open in the left panel. This improvement impacts the text and conversational text editors. To learn more, see our docs on Text relationships.


  • The issue where data rows were stuck in the "To label" queue has been resolved. Now data rows that have been labeled or skipped should be moved to the next workflow step, reliably.
  • The issue causing some assets to not load properly in the data row browser has been resolved.
  • We implemented a fix to ensure feature names with underscores are automatically formatted with surrounding spaces for accurate model processing.


  • On April 20, 2024, we will sunset Export v1 for Free, EDU, and Starter tiers. On April 27, 2024, we will sunset Export v1 for Standard, Pro, and Enterprise tiers. To learn more, see the Export v1 to v2 migration guide.
  • On Jun 30, 2024, we will be sunsetting our custom editor for all customers.

Python SDK

The latest version of our Python SDK is v3.66.0. See our full changelog in Github for more details on what was added recently.

Version 3.66 (2024-03-20)


  • Added support for Python 3.11, 3.12
  • Added update method to attachments


  • Improved notebooks for integration and model diagnostics
  • Removed databricks integrations notebooks


  • Updated README for clarity and contribution guidelines


  • Removed support Python 3.7 as it has been end of life since June 2023