Release v.3.68.0

Version 3.68.0 (2024-04-16)

Added

• Added support for embeddings.
• Introduced the use of 'rye' as a package manager for SDK contributors.
• Implemented a unified 'create' method for AnnotationImport, MEAPredictionImport, and MALPredictionImport.
• Enhanced annotation upload functionality to accept data row IDs, global keys, or external IDs directly for labelbox.data.annotation_types.label

Fixed

• Ensure items in dataset.upsert_data_rows are not empty
• Streamable export fix to report export_v2 errors as list of dictionaries, compatible with older releases
• Export fix to allow multi-line json

Release v.3.67.0

Version 3.67.0 (2024-04-05)

Added

• Added SECURITY.md file
• Made export_v2 methods use streamable backend
• Added support for custom embeddings to dataset create data row(s) methods
• Added ability to upsert data rows via dataset.upsert_data_rows() method
• Added AssetAttachment with an ability to update() and delete()

Updated

• Added check for 5000 labels per annotation per data row

Fixed

• Errors and Failed data rows are included in the task.result for dataset.create_data_rows()
• Fixed 500 error handling and reporting

Notebooks

• Updated import notebook for image data
• Added attachment PDF example, removed requirements around text_layer_url
• Included the get_catalog() method to the export notebook
• Added workflow status filter to export_data notebook for projects
• Send predictions to a project demo
• Removed model diagnostic notebooks

v3.66.0

What's Changed

• Release 3.66.0 by @sfendell-labelbox in #1497

Full Changelog: v3.65...v.3.66.0

v3.65.0

Version 3.65.0 (2024-03-05)

Notes

• Rerelease of 3.64.0

v.3.64.0

Version 3.64.0 (2024-02-29)

Added

• Catalog schema class. Catalog exports can now be made without creating a slice first

Removed

• Review related WebhookDataSource topics

Notebooks

• Added get_catalog notebook
• Update custom metrics notebook
• Update notebooks for video and image annotation import

Release v.3.63.0

Version 3.63.0 (2024-02-19)

Added

• Ability for users to install and use sdk with pydantic v.2.* while still maintaining support for pydantic v1.*
• ModelRun export() and export_v2() add model_run_details to support splits

Notebooks

• Add composite mask notebook

Release v.3.62.0

Version 3.62.0 (2024-02-12)

Added

• Support custom metrics for predictions (all applicable annotation classes)
• FoundryClient.run_app Add data_row identifier validation for running foundry app
• Client.get_error_status_code Default to 500 error if a server error is unparseable instead of throwing an exception

Updated

• DataRowMetadata, DataRowMetadataBatchResponse, _UpsertBatchDataRowMetadata Make data_row_id and global_key optional in all schema types

Fixed

• ExportTask.__str__ Fix returned type in ExportTask instance representation

Removed

• Project.upsert_review_queue

Notebooks

• Update notebooks to new export methods
• Add model slice notebook
• Added support for annotation import with img bytes
• Update user prompts for huggingface colab

Release v.3.61.2

Version 3.61.2 (2024-01-29)

Added

• ModelSlice.get_data_row_identifiers for Foundry data rows

Fixed

• ModelSlice.get_data_row_identifiers scoping by model run id

Release v.3.61.1

• Removed export API limit (5000)

Release v.3.61.0

Added

• ModelSlice.get_data_row_identifiers
  • Fetches all data row ids and global keys for the model slice
  • NOTE Foundry model slices are note supported yet

Updated

• Updated exports v1 deprecation date to April 30th, 2024
• Remove streamable param from export_v2 methods