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October 25th, 2023

Changelog (v2.141.0)

Changed

  • [Labeling] When you annotate, the category currently in use is now shown in the interface header. We’ve added this for extra clarity (when you deal with many categories, it is not always easy to see what class is currently in use). You can clear the currently selected category by clicking the X button.

[Labeling] When you pick an annotation tool and if there is only one category available for that tool, the interface will automatically pick that category for you. This can save you some clicks and will hopefully speed up the labeling process.

  • [Labeling] We’ve made some improvements in the video interface:
    • The visualization of classification and transcription tasks has been improved: their text values are now shown on the timeline. This will help you track how they change over the frames, without having to go to each frame. Thanks to this, you’ll be able to process your videos with extra efficiency.
    • When you select an annotated object, you can now navigate between the keyframes added to that specific object. Before the change, the Shift + Left and Shift + Right keyboard shortcuts would navigate between all the keyframes added to all the objects. The default settings are still available: to be able to navigate between all the keyframes added to your asset, make sure that no objects are selected.
  • [Labeling] The Video (legacy) project type has been removed from the Kili app and is no longer supported.
  • [Cloud storage] Consent for Kili to process assets on its backend (enabling smart tools) can now be only set at creation stage of an integration, and is not editable later. This is a temporary measure to fix a problem we’ve found; we’re planning on resolving the underlying issue in the near future.
  • [Python SDK] In the update_properties_in_assets and append_many_to_dataset methods, the deprecated argument status_array is still in the function definition but is not used anymore when processing asset creation or updates. Asset status cannot be overridden and is automatically computed based on asset labels.
  • [Automation] The pre-annotate with ChatGPT feature is now using GPT-4 instead of text-davinci-003 as the underlying model. Thanks to this change, the automatically added labels will be even more accurate.

Fixed

  • [Labeling] In Video projects, in the timeline, when users selected many frames from the timeline and then right-clicked them, the floating menu didn’t show. We’ve fixed this issue.
  • [Cloud storage] If cloud storage with Azure integration was set up using credentials, after sync some assets were duplicated. We’ve fixed this issue.
  • [Python SDK] We introduced a breaking change in the Data Connections mutations in the Kili SDK, that made the older SDK versions (before 2.147.0) incompatible with the current version of the Kili app. This has been fixed.
  • [Automation] The annotations for NER type jobs that were automatically added by ChatGPT used to be slightly offset to the right. We’ve fixed this issue.