Weβve introduced a Project completion percentage indicator, which shows the percentage of tasks that have reached the βCompleteβ stage. This feature allows Project admins to quickly assess the status and progress of their Projects at a glance.
Tasks within a single layout group, in custom editor layouts, now progress through the Workflow together. This means tasks are submitted, approved, rejected, skipped, or reopened as a unified group, ensuring efficient handling of related tasks. This enhancement is especially beneficial for RLHF workflows.
You can now group labels by class within single images and within a single frame view using the Group by class button in the Label Editor, streamlining the review and editing process for complex Ontologies.
NIfTI Upload using SDK: The SDK now supports uploading NIfTI files directly from a local machine, making it easier to manage medical imaging and other NIfTI-based datasets.
Multiple Branches per Data Unit: The SDK now allows the creation of multiple label row branches per data unit within a Project, providing greater flexibility for managing complex annotation tasks. This supports the prediction upload workflow for Encord Active.
The prediction set import process has been completely revamped:
Weβve introduced a Project completion percentage indicator, which shows the percentage of tasks that have reached the βCompleteβ stage. This feature allows Project admins to quickly assess the status and progress of their Projects at a glance.
Tasks within a single layout group, in custom editor layouts, now progress through the Workflow together. This means tasks are submitted, approved, rejected, skipped, or reopened as a unified group, ensuring efficient handling of related tasks. This enhancement is especially beneficial for RLHF workflows.
You can now group labels by class within single images and within a single frame view using the Group by class button in the Label Editor, streamlining the review and editing process for complex Ontologies.
NIfTI Upload using SDK: The SDK now supports uploading NIfTI files directly from a local machine, making it easier to manage medical imaging and other NIfTI-based datasets.
Multiple Branches per Data Unit: The SDK now allows the creation of multiple label row branches per data unit within a Project, providing greater flexibility for managing complex annotation tasks. This supports the prediction upload workflow for Encord Active.
The prediction set import process has been completely revamped: