Labelbox

Fixed
* Fixed a bug with certain types of content not being returned as a result of `ExportTask.result` or `ExportTask.errors`

v.3.69.0

Added
* Support to export embeddings from the SDK

Fixed
* Used OpenCV's headless library in replacement of OpenCV's default library

v.3.68.0

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

v.3.67.0

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


v.3.66.0
What's Changed

**Full Changelog**: https://github.com/Labelbox/labelbox-python/compare/v3.65...v.3.66.0