V3.0.0-rc1

Version 3.0.0-rc1 (2021-08-04)

Added

• More flexible drawing features for geometry annotations

Fixes

• Fixed annotation type conversion bugs that appeared when projects had mixed data types or empty labels.

V3.0.0-rc0

Version 3.0.0-rc0 (2021-08-03)

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
• MEA Support
  • Beta MEA 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
  • MAL demos were broken due to an image download failing.

Installation

• 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]. For a specific version (such as the rc release) use pip install "labelbox[data]==3.0.0rc0"

V2.7.0

Version 2.7.0 (2021-06-27)

Added

• Added dataset.export_data_rows() which returns all DataRows for a Dataset.

V2.6.0

Version 2.6.0 (2021-06-11)

Fix

• Upated create_mask_ndjson helper function in image_mal.ipynb to use the color arguement
  instead of a hardcoded color.

Added

• asset_metadata is now deprecated and has been replaced with asset_attachments
  • AssetAttachment replaces AssetMetadata ( see definition for updated attribute names )
  • Use DataRow.attachments() instead of DataRow.metadata()
  • Use DataRow.create_attachment() instead of DataRow.create_metadata()
• Updated pydantic version

V2.5.6

Version 2.5.6 (2021-05-20)

Fix

• MAL validation no longer raises exception when NER tool has same start and end location

V2.5.5

Version 2.5.5 (2021-05-17)

Added

• DataRow now has a media_attributes field
• DataRows can now be looked up from LabelingParameterOverrides
• Project.export_queued_data_rows to export all data rows in a queue for a project at once

V2.5.4

Version 2.5.4 (2021-04-22)

Added

• User Management
  • Invite users to an organization
  • Query for remaining invites and users available to an organization
  • Set and update organization roles
  • Set / update / revoke project role
  • Delete users from organization
  • Example notebook added under examples/basics
• Issues and Comments Export
  • Bulk export issues and comments. See Project.export_issues
• MAL on Tiled Imagery
  • Example notebook added under examples/model_assisted_labeling
  • Dataset.create_data_rows now allows users to upload tms imagery

V2.5.3

Version 2.5.3 (2021-04-01)

Added

• Cleanup and add additional example notebooks
• Improved README for SDK and examples
• Easier to retrieve per annotation BulkImportRequest status, errors, and inputs
  • See BulkImportRequest.errors, BulkImportRequest.statuses, BulkImportRequest.inputs for more information

V2.5.2

Version 2.5.2 (2021-03-29)

Fix

• Ontology builder defaults to None for missing fields instead of empty lists
• MAL validation added extra fields to subclasses

Added

• Example notebooks

V2.5.1

Version 2.5.1 (2021-03-15)

Fix

• Dataset.data_row_for_external_id no longer throws ResourceNotFoundError when there are duplicates
• Improved doc strings

Added

• OntologyBuilder for making project setup easier
• Now supports IMAGE_OVERLAY metadata
• Webhooks for review topics added
• Upload project instructions with Project.upsert_instructions
• User input validation
  • MAL validity is now checked client side for faster feedback
  • type and value checks added in a few places