February 2022 Update
February 2022 Update

Introducing: The New Model Tool
Auto-Annotate is getting a major power-up: Use any model to automatically label polygons, bounding boxes, text, and tags. The Model Tool lets you map classes to models from the internet, and will surface confidence scores for every label created.


Support for all model types
Whether it's one of your team's trained object detection or classification models, or one of our public models like the text scanner, the Model Tool can output any annotation type. You may even use it at lower complexity levels, for example use an instance segmentation model to produce bounding boxes.
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New Features
🆕 Label segments can now be easily moved/resized in video timelines when annotating on touch displays.
Performance Improvements
🚀 We've made zooming and panning in multiple-gigabyte TIFF files significantly smoother.
🚀 DICOM series and their slices now have significantly-improved loading times and playback speeds.
Fixes
👾 New annotations now always appear at the top of the Annotations menu.
👾 Corrected the alignment of rendered frames in streamed videos with the frame in the video timeline.
👾 Fixed an issue that prevented Auto-Annotate from functioning in videos with streaming enabled.
👾 Corrected the interpolation algorithm for Ellipse annotations to ensure smooth interpolation between key frames.
👾 Fixed an issue that caused the layering of annotations in the Annotations menu to be inverted when compared to the layers in the exported JSON file.
👾 Tweaked interpolation behaviour to prevent complex polygons (polygons with multiple parts) from disappearing in interpolated frames.
👾 Files in a Complete state no longer display any annotation tools to reflect the fact that they are uneditable.
👾 Fixed an error that prevented DICOMs with hanging protocol layouts from being edited.
👾 Class filters now reset when moving between datasets.
👾 All class names were previously capitalised in the workview. This is no longer the case.
👾 Keypoints now change appearance when hovering over them with the cursor. This makes them clearer when not the cursor is not hovering above them.