💥 Release Notes 12.04.2024

Automated labeling, Consensus, DICOM, SDK, Performance Enhancements

Automated labeling

  • Auto segmentation tracking - We're thrilled to introduce our groundbreaking auto-segmentation tracking feature - allowing you to effortlessly track bitmask and polygon annotations across a range of video frames. It dynamically adjusts the shape of your labels in response to changes within the video, ensuring consistently high accuracy in your annotations! 🎯

Consensus workflows

  • Consensus workflows now support object labels - Objects are now supported in Consensus workflows. Simultaneously review all annotator submissions in one editor review session
  • Exporting consensus labels - You can now use the SDK to download labels made by all annotators in a consensus Project.


  • Study-level classifications - Our latest UI update enhances the Label Editor, allowing you to apply classifications to an entire DICOM series or the whole study directly while viewing individual series. This streamlined functionality improves efficiency and usability, enabling a more intuitive interaction with your data.
  • Auto layouts - We've introduced new settings that enable you to configure auto layouts using standard hanging protocols for mammography files, significantly improving the efficiency of reviewing mammography images. Choose between 2x2 and 4x1 layouts with only a click of a button in the Label Editor settings!


  • Full support for object primitives - The SDK now allows direct manipulation of object primitives, simplifying the import into, and export from Encord. This enhancement boosts workflow flexibility and efficiency, facilitating seamless integration and collaboration.

Performance Enhancements

  • 9x faster label download speed - We've fine-tuned the label downloading process, which is now up to five times faster, enabling you to download your labels more quickly. This significant speed increase streamlines your workflow, allowing you to focus more on analysis and less on waiting. 🏎️