v.3.27.0

Version 3.27.0 (2022-09-12)

Added

• Global Keys for data rows
  • Assign global keys to a data row with client.assign_global_keys_to_data_rows
  • Get data rows using global keys with client.get_data_row_ids_for_global_keys and client.get_data_rows_for_global_keys
• Project Creation
  • Introduces Project.queue_mode as an optional parameter when creating projects
• MEAToMALPredictionImport class
  • This allows users to use predictions stored in Models for MAL
• Task.wait_till_done now shows a warning if task has failed

Changed

• Increase scalar metric value limit to 100m
• Added deprecation warnings when updating project queue_mode

Fixed

• Fix bug in feature_confusion_matrix and confusion_matrix causing FPs and FNs to be capped at 1 when there were no matching annotations

v.3.26.2

Version 3.26.2 (2022-09-06)

Added

• Support for document (pdf) de/serialization from exports
  • Use the LBV1Converter.serialize() and LBV1Converter.deserialize() methods
• Support for document (pdf) de/serialization for imports
  • Use the NDJsonConverter.serialize() and NDJsonConverter.deserialize() methods

v.3.26.1

Version 3.26.1 (2022-08-23)

Changed

• ModelRun.get_config()
  • Modifies get_config to return un-nested Model Run config

Added

• ModelRun.update_config()
  • Updates model run training metadata
• ModelRun.reset_config()
  • Resets model run training metadata
• ModelRun.get_config()
  • Fetches model run training metadata

Changed

• Model.create_model_run()
  • Add training metadata config as a model run creation param

v.3.26.0

Version 3.26.0 (2022-08-15)

Added

• Batch.delete() which will delete an existing Batch
• Batch.delete_labels() which will delete all Label’s created after a Project’s mode has been set to batch.
  • Note: Does not include labels that were imported via model-assisted labeling or label imports
• Support for creating model config when creating a model run
• RAW_TEXT and TEXT_FILE attachment types to replace the TEXT type.

v.3.25.3

Version 3.25.3 (2022-08-10)

Fixed

• Label export will continue polling if the downloadUrl is None

v.3.25.2

Version 3.25.2 (2022-07-26)

Updated

• Mask downloads now have retries
• Failed upload_data now shows more details in the error message

Fixed

• Fixed Metadata not importing with DataRows when bulk importing local files.
• Fixed COCOConverter failing for empty annotations

Documentation

• Notebooks are up-to-date with examples of importing annotations without schema_id

v.3.25.1

Version 3.25.1 (2022-07-20)

Fix

• Remove extra dependency causing import errors.

v.3.25.0

Version 3.25.0 (2022-07-20)

Added

• Importing annotations with model assisted labeling or label imports using ontology object names instead of schemaId now possible
  • In Python dictionaries, you can now use schemaId key or name key for all tools, classifications, options
• Labelbox's Annotation Types now support model assisted labeling or label imports using ontology object names
• Export metadata when using the following methods:
  • Batch.export_data_rows(include_metadata=True)
  • Dataset.export_data_rows(include_metadata=True)
  • Project.export_queued_data_rows(include_metadata=True)
• VideoObjectAnnotation has segment_index to group video annotations into video segments

Removed

• Project.video_label_generator. Use Project.label_generator instead.

Updated

• Model Runs now support unassigned splits
• Dataset.create_data_rows now has the following limits:
  • 150,000 rows per upload without metadata
  • 30,000 rows per upload with metadata

v.3.24.1

Version 3.24.1 (2022-07-07)

Updated

• Added refresh_ontology() as part of create/update/delete metadata schema functions

v.3.24.0

Version 3.24.0 (2022-07-06)

Added

• DataRowMetadataOntology class now has functions to create/update/delete metadata schema
  • create_schema - Create custom metadata schema
  • update_schema - Update name of custom metadata schema
  • update_enum_options - Update name of an Enum option for an Enum custom metadata schema
  • delete_schema - Delete custom metadata schema
• ModelRun class now has assign_data_rows_to_split function, which can assign a DataSplit to a list of DataRows
• Dataset.create_data_rows() can bulk import conversationalData