v.3.28.0

Version 3.28.0 (2022-10-14)

Added

• Added warning for upcoming change in default project queue_mode setting
• Added notebook example for importing Conversational Text annotations using Model-Assisted Labeling

Changed

• Updated QueueMode enum to support new value for QueueMode.Batch = BATCH.
• Task.failed_data_rows is now a property

Fixed

• Fixed Task.wait_till_done() showing warning message for every completed task, instead of only warning when task has errors
• Fixed error on dataset creation step in examples/annotation_import/video.ipynb notebook

v.3.27.2

Version 3.27.2 (2022-10-04)

Added

• Added deprecation warning for missing media_type in create_project in Client.

Changed

• Updated docs for deprecated methods _update_queue_mode and get_queue_mode in Project
  • Use the queue_mode attribute in Project to get and set the queue mode instead
  • For more information, visit https://docs.labelbox.com/reference/migrating-to-workflows#upcoming-changes
• Updated project.export_labels to support filtering by start/end time formats "YYYY-MM-DD" and "YYYY-MM-DD hh:mm:ss"

v.3.27.1

Version 3.27.1 (2022-09-16)

Changed

• Removed client.get_data_rows_for_global_keys until further notice

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.