Releases: Labelbox/labelbox-python
Releases · Labelbox/labelbox-python
v.3.26.0
Version 3.26.0 (2022-08-15)
Added
Batch.delete()which will delete an existingBatchBatch.delete_labels()which will delete allLabel’s created after aProject’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_TEXTandTEXT_FILEattachment types to replace theTEXTtype.
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_datanow 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
schemaIdkey ornamekey for all tools, classifications, options
- In Python dictionaries, you can now use
- 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)
VideoObjectAnnotationhassegment_indexto group video annotations into video segments
Removed
Project.video_label_generator. UseProject.label_generatorinstead.
Updated
- Model Runs now support unassigned splits
Dataset.create_data_rowsnow 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
DataRowMetadataOntologyclass now has functions to create/update/delete metadata schemacreate_schema- Create custom metadata schemaupdate_schema- Update name of custom metadata schemaupdate_enum_options- Update name of an Enum option for an Enum custom metadata schemadelete_schema- Delete custom metadata schema
ModelRunclass now hasassign_data_rows_to_splitfunction, which can assign aDataSplitto a list ofDataRowsDataset.create_data_rows()can bulk importconversationalData
v.3.23.3
v.3.23.2
Version 3.23.2 (2022-06-15)
Added
Data Rowobject now has a new field,metadata, which returns metadata associated with data row as a list ofDataRowMetadataField- Note: When importing Data Rows with metadata, use the existing field,
metadata_fields
- Note: When importing Data Rows with metadata, use the existing field,
v.3.23.1
Version 3.23.1 (2022-06-08)
Added
Taskobjects now have the following properties:errors- fetch information about why the task failedresult- fetch the result of the task- These are currently only compatible with data row import tasks.
- Officially added support for python 3.9