Since the launch of Supervisely, image annotation and management was the core of our platform. Indeed, this is what would require most of your team’s time to build a computer vision model — and it’s gonna be as good, as your data.

We already have best-in-the class tools for image and video annotation, user collaboration, and pipelines to train custom neural networks.

But one thing we’ve noticed: when it comes to data manipulation, like merging two projects together, filtering good and bad images and so, our users would like to use an instrument they already got used too: a regular file manager! This is probably the first program that was created for PC — and everyone knows how to use it.

The problem is that your favorite file manager doesn’t know about annotations, polygons, classes, tags or anything related to the training data. On the other hand, Supervisely has all that, but it’s hard to find where is what and move things around in the web interface.

So sometimes people (even from our team) had to upload images to Supervisely, label, download them back, do some manipulations and then upload files again. This is very time consuming — moreover, you lose features like collaboration and can produce errors while transferring your data from folder to folder.

We got numerous requests from our awesome community to find a way to deal with that — and we are happy to announce the first online File Manager for Training Data! This tool closes the gap between the rich functionality of our training data labeling platform and the convenience of a regular file manager.