Version 3.6.0

Version 3.6.0 (2021-05-10)

Added

• Bulk export metadata with DataRowMetadataOntology.bulk_export()
• Add docstring examples of annotation types and a few helper methods

Updated

• Update metadata notebook under examples/basics to include bulk_export
• Allow color to be a single integer when constructing Mask objects
• Allow users to pass int arrays to RasterData and attempt coercion to uint8

Removed

• data_row.metadata was removed in favor of bulk exports

Version 3.5.0

Version 3.5.0 (2021-15-09)

Added

• Diagnostics custom metrics
  • Metric annotation types
  • Update ndjson converter to be compatible with metric types
  • Metric library for computing confusion matrix metrics and iou
  • Demo notebooks under examples/diagnostics
• COCO Converter
  • Convert to and from COCO object and panoptic formats
• Detectron2 example integration notebooks

Version 3.4.1

Version 3.4.1 (2021-09-10)

Fix

• Iam validation exception message

Version 3.4.0

Version 3.4.0 (2021-09-10)

Added

• New IAMIntegration entity
• Client.create_dataset() compatibility with delegated access
• Organization.get_iam_integrations() to list all iam integrations available to an org
• Organization.get_default_iam_integration() to retrieve the default iam integration

Version 3.3.0

Version 3.3.0 (2021-09-07)

Added

• Dataset.create_data_rows_sync() for synchronous bulk uploads of data rows
• Model.delete(), ModelRun.delete(), and ModelRun.delete_annotation_groups() to
  Clean up models, model runs, and annotation groups.

Fix

• Increased timeout for label exports since projects with many segmentation masks weren't finishing quickly enough.

Version 3.2.1

Version 3.2.1 (2021-08-31)

Fix

• Resolved issue with create_data_rows() not working on amazon linux

Version 3.2.0

Version 3.2.0 (2021-08-26)

Added

• List BulkImportRequests for a project with Project.bulk_import_requests()
• Improvemens to Dataset.create_data_rows()
  • Add attachments when bulk importing data rows
  • Provide external ids when creating data rows from local files
  • Get more informative error messages when the api rejects an import

Fix

• Bug causing project.label_generator() to fail when projects had benchmarks

Version 3.1.0

Version 3.1.0 (2021-08-18)

Added

• Support for new HTML attachment type
• Delete Bulk Import Requests with BulkImportRequest.delete()

Misc

• Updated MEAPredictionImport class to use latest grapqhql endpoints

Version 3.0.1

Version 3.0.1 (2021-08-13)

Fix

• Issue with inferring text type from export

Version 3.0.0

Version 3.0.0 (2021-08-12)

Added

• Annotation types
  • A set of python objects for working with Labelbox data
  • Creates a standard interface for both exports and imports
  • See example notebooks on how to use under examples/annotation_types
  • Note that these types are not yet supported for tiled imagery
• Model Diagnostics Support
  • Model Diagnostics beta users can now just use the latest SDK release
• Metadata support
  • New metadata features are now fully supported by the SDK
• Easier export
  • project.export_labels() accepts a boolean indicating whether or not to download the result
  • Create annotation objects directly from exports with project.label_generator() or project.video_label_generator()
  • project.video_label_generator() asynchronously fetches video annotations
• Retry logic on data uploads
  • Bulk creation of data rows will be more reliable
• Datasets
  • Determine the number of data rows just by calling dataset.row_count.
  • Updated threading logic in create_data_rows() to make it compatible with aws lambdas
• Ontology
  • OntologyBuilder, Classification, Option, and Tool can now be imported from labelbox instead of labelbox.schema.ontology

Removed

• Deprecated:
  • project.reviews()
  • project.create_prediction()
  • project.create_prediction_model()
  • project.create_label()
  • Project.predictions()
  • Project.active_prediction_model
  • data_row.predictions
  • PredictionModel
  • Prediction
• Replaced:
  • data_row.metadata() use data_row.attachments() instead
  • data_row.create_metadata() use data_row.create_attachments() instead
  • AssetMetadata use AssetAttachment instead

Fixes

• Support derived classes of ontology objects when using from_dict
• Notebooks:
  • Video export bug where the code would fail if the exported projects had tools other than bounding boxes
  • Model-assisted labeling demos were broken due to an image download failing.

Misc

• Data processing dependencies are not installed by default to for users that only want client functionality.
• To install all dependencies required for the data modules (annotation types and mea metric calculation) use pip install labelbox[data]
• Decrease wait time between updates for BulkImportRequest.wait_until_done().
• Organization is no longer used to create the LFO in Project.setup()