August update

A series of cards from V7 Darwin

Customize your Workflow

One of our most requested features. You can now set any annotation or review stage you wish, and edit it at any point in your project. You can now create multiple review stages, or several annotation steps that precede reviews.

You'll find these new options in the Settings tab of each dataset.

DICOM is Here!

That's right, V7 Darwin is now a fully fledged medical imaging viewer with built in AI annotation tools and workflow management.

You can now load medical images, including 3D MRI/CT scans in DICOM format, label them collaboratively, and assign them to doctors for review.

This is the first of multiple medical imaging-related updates, so we're keen to hear your feedback! We have more planned for the near future.

Yes, we did include windowing options! So you can see the full range of details in your scans, see below:

Windowing: See what your monitor can't show you.

Normal images contain 250 colors for each channel, but some, like DICOM or other multi-spectral imagery, can contain thousands.

Your screen however can't show you details beyond the 1-250 values that its pixels can display. Windowing allows you to reveal details in medical and scientific imaging that your monitor, and the human eye, normally cannot see.

Windowing options are available for all image types in the Image Manipulation panel.

Sampling %

Alongside multiple workflow stages, we also included random sampling options per stage AND per user!

Pick the % chance that an image completed in a stage, or by a user, will be picked for the subsequent stage. This will significantly streamline QA, with the most experienced labellers requiring less review attention, and new one starting with a higher sampling rate.

Hiding Skeleton Joints

Sometimes a vertice in a skeleton or custom polygon is occluded, for example Simon's legs in this picture. You can now press  Backspace  on a selected joint to hide it.
It will turn grey, and can be restored via the Edit tool, or with the shortcut  Shift + R  .


 You can now upload labelled videos! Video annotations can be loaded via API. Read the documentation for it.


 Video keyframes now save sub-annotations, so they do not have to be set for each new frame.


 Video keyframes now support Instance IDs, so you can track and re-identify objects between video files


  Original video files are now available in the export JSON, alongside the full-res frames


 Instance IDs and attributes can now be applied to skeletons.


 Comments are carried over across new workflows


New warning windows notify users of an expired free trial or credits plan. These windows contain links to the appropriate plans page.


 An orange “External” tag is visible on images belonging to external S3 storage buckets, for teams with bespoke storage arrangements.


 A new polygon rendering library speeds up the browsing of annotation-dense images. This is the first of multiple updates on faster polygon rendering.


  Sped up the opening/closing of instructions, hotkeys, and image manipulation panels and reduced annoying animations.


  Minor UX improvement on the plans tab when changing credits. A warning message is displayed when downgrading below a used amount.


 The Annotator user class was renamed to Worker to avoid confusion (since workers can also be reviewers)


  Film overlay added to video files in the workview carousel to distinguish them from images.


  Fixed a bug that prevented the permanent deletion of videos.


  Deleting a folder of video frames now correctly deletes all the frames within it.