Changelog

With this release, you can generate, rename, and delete dataset versions.

This release is packed with updates that improve your experience with datasets and neural networks.

This release is packed with new features that will allow you to manage your folders even better.

We’re back with another set of features that are going to improve your SuperAnnotate experience even more.

Small changes can make a big difference. With this release, you can filter images with even greater detail.

This release brings you exciting improvements and features that revolutionize your SuperAnnotate experience.

This update takes data security to the next level and brings you a shortcut that will help you review instances faster than ever.

For this release, we are introducing functionalities that make your SuperAnnotate experience smoother and faster. You can use Python SDK to create and manage folders, update annotation statuses in bulk, and compute consensus and benchmark between multiple folders.

The right tools and features drive successful annotation projects. This release brings new features and improvements that will upgrade your SuperAnnotate experience, allowing you to manage projects more efficiently.

We are committed to your success, that's why we are always improving our platform. You can now integrate training and prediction calls within the Python pipeline.