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App

• The Performance Dashboard now contains a bar chart that shows the number of labeling tasks per labeler.
• The SAM2 auto-segmentation model is now integrated into the video editor. Now, a labeler can click a few positive and negative points for objects on a single frame they want to track and select a frame range. SAM2 will automatically add segmentation masks to the object over the selected frame range, reducing manual work.
• The Models tab now supports the following models:
  • Open AI GPT-5
  • Claude Opus 4.1
  • Veo 3
  • Google Imagen 4
• The Multi-modal chat has been updated with the following:
  • You can now add turn-level instructions as metadata (see turnInstructions in the docs).
  • The Multi-modal chat editor now supports video generation, starting with Veo 3.
• You can now edit the behavior of the rework task in workflows to send rejected labels back to the original label creator only.
• If “Skip Data Row” in the advanced project settings is toggled on, when a data row is skipped five times, it will move to the next task queue.

• When a data row gets skipped in the editor, the data row will stay in the “To label” queue instead of moving to the “Review” queue.
• The default real-time resolution setting in the video editor is now set to 1080p.
• We made the following improvements to the Multi-modal chat editor
  • When you upload an image during a turn, the image won’t be saved as an attachment until you submit the turn.
  • When you reset a turn, you have the option to leave the image attachment on the turn or manually remove it.
• The hotkey for “Submit / Save” in the editor has been updated to “E E”.

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Python SDK