Changelog

March Update

March 19, 2020

New Stats!

Head over to the Annotators section. Previously you could only see current image statuses. Now you will be abe to see the pass/reject rate over time as well as the overall dataset progress.

Sorting within datasets

There's a whole new sidebar in Dataset Management. At the top, you will see sorting options for the current dataset.

New status filters

We trimmed the fat on status filters. They are now fewer and more intuitive to use.

Tag with one click, and filter more easily.

Tagging a bundle of images previously required 3 or 4 clicks, and we cut it down to 1. You can also visualize the number of annotations at a glance, filter through them, and create new tags on the go without having to go through the class-creation system.

Reset Zoom, or Not.

Most of the time, switching to the next image means wanting to center the image on your window (Tip: the hotkey for this is 0). However sometimes you will want the zoom to be preserved, such as when you are annotating one part of a video, to track an object. You can now lock zoom when switching images in workview with a button on the bottom left.

More Tweaks and Improvements

Feature
XML Exports are now available.
Feature
Cuboid annotations are available by default for all teams.
Feature
Feature
Performance
Error toast messages are more persistent to prevent from annotating without a connection.
Performance
Performance
Performance
Fix
The Upload button no longer moves around when completing an upload.
Fix
Fix
Fix
Fix
Fix
Fix
Fix

February Update

February 28, 2020

Image Manipulation

One highly requested feature is to allow manipulating the image's appearance. This means tweaking contrast, saturation, and the visibility of annotations.

You can now tweak these through an Image Manipulation panel on the top right. We will keep adding more ways to tweak images, including color channels and image overlays. If there is something you'd like to see when it comes to image manipulation let us know!

Video Folders

Video frames are now bundled as folders and are easier to browse. This is a first step towards scrubbable videos which would enable faster frame-by-frame annotation.

Smoother Large-File Uploads

We are seeing larger and larger uploads coming through. We've smoothed out the progress of uploads so it's easier to keep track of.

More Skip Controls and Mark as Done

As requested by some of you, we added more ways to skip images, as well as ways to manually mark un-changed images as done.

Polygons close magnetically

A small tweak but a highly requested one. Next up are better ways of manually drawing masks.

More Tweaks and Improvements

Feature
Assigning an annotated image now carries over annotations into the new task.
Feature
Annotation metrics of users that haven't labeled a dataset are hidden.
Feature
Images are automatically rotated when Exif data requires it, such as direct uploads to Darwin from mobile apps.
Feature
Performance
Improved the time tracking reliability.
Performance
Database tuning is now performed daily.
Performance
Reduced the number of DOM elements in workview to scrolling performance.
Performance
Fix
New dataset export notifications are now clickable.
Fix
Open Datasets now display attributes.
Fix
The Auto-Annotate functionality in tutorial no longer disappears for certain users.
Fix
Deleted attributes no longer continue to stay in annotations.
Fix
The Z-Indexing (annotation ordering) in workview now correctly reflects the inverse .Json ordering for all annotation types.
Fix
Fixed a bug where assigning images with too many existing annotations caused crashes.
Fix
Names of deleted datasets can now be re-used for new datasets.
Fix

January Update

January 20, 2020

Track the progress of your labeling workforce

Late last month the Annotator tab became available, allowing you to monitor the performance of labelers across all datasets with granular detail.
We based this feature on your feedback, adding the ability to monitor:
- Images completed
- Labels completed
- Total time spent labeling
- Labels per second
- Accuracy score (based on review)
These metrics can be filtered by day, week, or month and are beautifully plotted on a comparable graph.

Version Datasets as you Export

Version control in machine learning is a bit of a mess. When exporting a dataset or any batch of labels, Darwin will create and save a version of those labels for future re-use should the dataset change over time.

APIs for Everything

For teams unrestricted by GUIs. There's a lot you can do with APIs now: fork datasets, create classes, download reports, and a lot more. Try the new API key management or visit the new version of Darwin.py at
https://pypi.org/project/darwin-py/

Navigate

We're looking out for ways to reduce fatigue and save time. You can now pan images with the WASD keys, use the middle-mouse button to pan during Auto-Annotate editing, and you'll find scrolling to zoom has become smoother.
Several more quality-of-life improvement like these are around the corner.

Neural Networks Beta

Those of you who met with our team in recent days may have had a sneak-peek at the automated model training and deployment system being developed. It's intended to speed up the federated learning of Auto-Annotate, and enable further labeling automation.

More Tweaks and Improvements

Feature
Clicking on an annotation in workview scrolls to its position on the sidebar and highlights it.
Feature
You may now hide sub-annotations as well as all labels. Hiding has been sped up significantly.
Feature
If you minimize the sidebar it will be remembered as a preference.
Feature
.TIF file support was expanded further.
Performance
The image carousel in workview has an improved pagination feature to support 1M+ images.
Performance
Improved error toast messages throughout the platform.
Performance
Image download speed via CLI has been greatly improved.
Performance
Switching teams has been sped up.
Fix
Archived images can be permanently deleted by users and admins.
Fix
Team avatars no longer appear squished if the aspect ratio is very uneven.
Fix
Fix
Fix
Fix
Fix
Fix

November + December Update

September 18, 2019

Learn all annotation functionalities in 10 minutes

We've compacted (almost) everything you can do on the annotation workview in a short tutorial. We recommend trying this out if you are new to Darwin. It's now available for all teams in the Dataset Management tab.

The new V7 Academy

We are creating short, straight-to-the-point video tutorials explaining both AI best-practice, as well as platform functionalities.
You can view a preview and the first few lessons at:
https://v7labs.com/academy

Mega Images - SVS and WSI Support

Several teams requested the ability to annotate ultra-large imagery smoothly. Darwin now supports images of above 100,000 pixels squared thanks to a new tiling system similar to what you would find in modern maps applications. It now also supports direct uploads of .SVS files for whole-slide pathology sample images, and the browsing experience is as smooth as butter as usual.

Better Loading

We receive lots of feedback on where loading could be more appropriately displayed. Last month we spent a few days implementing a smoother loading response experience that we hope you will find as soothing and relaxing as it is to me.

New Auto-Annotate

When you thought Auto-Annotate couldn't get better, in comes a new version (and we're really just at the start). It now supports pixel-perfect boundaries and far more polygon edges. It also supports custom fine-tuning for teams with large enough datasets via active learning. If you're interested in improving A-A for your dataset do let us know.

More Tweaks and Improvements

Feature
A new dataset setting allows you to choose whether annotators can create new tags.
Feature
Polygons don't interfere when clicking around the interface.
Feature
Delete icon added in workview annotation list
Feature
Performance
Improved pixel visibility on large images.
Performance
Exporting annotations now provides a loading system.
Performance
Comments respond more quickly.
Performance
Zooming in and out has been scaled and improved for Windows users.
Fix
Annotation overlays (pills / labels) no longer capture the mouse on scroll.
Fix
Annotations are hidden until images have fully loaded.
Fix
Fix
Fix
Fix
Fix
Fix

September Update

September 5, 2019

Annotation Comments are in!

You'll see a new tool appear by default in the annotation workview toolbar. You can select a region of an image to leave a comment in and start a thread. Other users, annotators, or reviewers can reply to it, or resolve it.

This should help streamline communication in very large datasets, and helps you trace back to comments you left as you will be notified when other users leave a reply. During review, you can leave a comment to explain what needs to be fixed so that annotators can learn where to improve.

Annotation comments are also useful in industries where experts need to be consulted, such as healthcare, where a comment annotation records an expert's opinion. You can try comments now on Darwin or check out the example video below

https://www.v7labs.com/academy/comment-tool

Leave Feedback, Get Responses

You'll find a new feedback button on the bottom-left of most pages. These messages nudge us directly on Slack, so we are able to respond right away if you encounter an issue or get stuck.

Updated Interface Design

We like polishing our UI, and have improved the look and feel of entry forms, toast messages, buttons, and team settings.

View all Hotkeys

This should help annotation work move a lot faster - take a look at the list of hotkeys available from the workview interface.

More Tweaks and Improvements

Feature
Images in dataset management are more easily selectable (click anywhere on the image), and classes can be more easily edited.
Feature
The Skip button prominently shows skip reasons after one is picked.
Feature
Support for international tax IDs added.
Feature
Clicking the zoom % resets zoom.
Performance
You can now paste images into the upload section to upload them.
Performance
Performance
Performance
Fix
Fixed an issue with users invited to multiple teams not being able to join both.
Fix
Tasks of users who leave teams automatically become unassigned.
Fix
The upload button returns to normal a few seconds after uploads are complete.
Fix
Fix
Fix
Fix
Fix
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