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()

Version 3.0.0-rc3

Version 3.0.0-rc3 (2021-08-12)

Updates:

• Geometry.raster now has a consistent interface and improved functionality
• renamed schema_id to feature_schema_id in the FeatureSchema class
• Mask objects now use MaskData to represent segmentation masks instead of ImageData

V3.0.0-rc2

Version 3.0.0-rc2 (2021-08-09)

Updates

• Rename
  • RasterData to ImageData
  • data property of TextData, ImageData, and VideoData types to value.
• Decrease wait time between updates for BulkImportRequest.wait_until_done()
• Organization param is no longer used to create the LFO in Project.setup()

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.