1.1.0

This will be the last release please review https://docs.labelbox.com/docs/deprecations

1.0.0

• Enabling get_annotations to use export v2 by @ramy1951 in #6
• This release contains breaking changes to the following functions
  • get_annotations: The format of the returned export now follows the updated export v2 glossary. Please see the #6 for more details
  • get_videoframe_annotations: The format of the video annotations has been updated to reflect the new format seen in the export v2.
  • Pandas library mandatory version minimum >=2.1.0

0.1.4

Merge pull request #9 from Labelbox/ramy1951-setup-0.1.4

Update setup.py

0.1.3

What's Changed

• Create SECURITY.md by @abacchilb in #5
• DEVOPS-3096 - adding slsa metadata by @abacchilb in #7

New Contributors

• @abacchilb made their first contribution in #5

Full Changelog: 0.1.2...0.1.3

0.1.2

Minor bugfix of Silver Table code:

• Fixed problem where nested classifications on objects were not detected
• Fixed problem where textbox entries were not properly parsed

0.1.0

Labelbox Connector for Snowflake

Access the Labelbox Connector for Snowflake to connect an unstructured dataset to Labelbox, programmatically set up an ontology for labeling, and load the labeled dataset into your Snowflake environment. Built to work with Snowflake Unstructured Data.

Labelbox is the enterprise-grade training data solution with fast AI enabled labeling tools, labeling automation, human workforce, data management, a powerful API for integration & SDK for extensibility. Visit Labelbox for more information.

This library is currently in beta. It may contain errors or inaccuracies and may not function as well as commercially released software. Please report any issues/bugs via Github Issues.

You can also reach the Labelbox team at ecosystem+snowflake@labelbox.com