Learn about the ways SuperAnnotate makes managing annotation teams significantly easier, and how our methods can be applied to the Covid-19 world.

Explore the automaation tools within the SuperAnnotate Platform that speed up the quality assurance process substantially.

Find out more about pixel-precision in aerial imagery, AI segmentation-based approaches, pixelwise annotation, and more.

We’ve been super busy at SuperAnnotate these past few weeks, and we’re excited to share with you our new features and updates.

Check out SuperAnnotate's new updates along with editor improvements and new features including duplicate mode, and approve/disapprove instances.

Scale and automate your annotation process using transfer learning. We share a tutorial on how transfer learning works and how to do it without coding.

How to improve both inference time (2x) and F1 score (by 0.06) of the pruned neural network using knowledge distillation.

Use the smart prediction integrated into our platform to accelerate the text annotation process. Our prediction algorithm is able to receive 97% mAP score.

Introducing SuperAnnotate’s U-Net-based building footprint pre-annotation. Follow the link to learn more about the algorithm and code description.

See updates from the current cycle. We are releasing the integration of the entropy value, the approve and disapprove functionalities for QA, and more.

Updates on SuperAnnotate include a video upload feature that slits your footage into frames. We also redesigned the image panel. See what's coming next.

Introducing SuperAnnotate, an end-to-end platform for your computer vision products. Annotate, train, and automate your computer vision pipeline.