Labelbox

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`

Fix
* Remove extra dependency causing import errors.

v.3.25.0

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 `schemaId` key or `name` key for all tools, classifications, options
* 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)`
* `VideoObjectAnnotation` has `segment_index` to group video annotations into video segments

Removed
* `Project.video_label_generator`. Use `Project.label_generator` instead.

Updated
* Model Runs now support unassigned splits
* `Dataset.create_data_rows` now has the following limits:
* 150,000 rows per upload without metadata
* 30,000 rows per upload with metadata

v.3.24.1

Updated
* Added `refresh_ontology()` as part of create/update/delete metadata schema functions

v.3.24.0

Added
* `DataRowMetadataOntology` class now has functions to create/update/delete metadata schema
* `create_schema` - Create custom metadata schema
* `update_schema` - Update name of custom metadata schema
* `update_enum_options` - Update name of an Enum option for an Enum custom metadata schema
* `delete_schema` - Delete custom metadata schema
* `ModelRun` class now has `assign_data_rows_to_split` function, which can assign a `DataSplit` to a list of `DataRow`s
* `Dataset.create_data_rows()` can bulk import `conversationalData`

v.3.23.3

Fix
* Import for `numpy` has been adjusted to work with numpy v.1.23.0

v.3.23.2