How IntelinAir built the highest quality datasets with SuperAnnotate

IntelinAir shares how they were able to build pixel-accurate training data at quality levels and speeds unachievable with their previous tooling.

Active Learning for Semantic Segmentation

In this article, we cover the results of applying different Active Learning methods for semantic segmentation, integration to our platform, share the code and some benchmarking data.

Active Learning for Object detection and Human Pose estimation

In this article, we cover the results of using the “Learning Loss for Active Learning“ algorithm for object detection and human pose estimation tasks.

Active Learning for classification models

In this article, we present our implementation of 2 active learning algorithms, their usage in SuperAnnotate's platform, share the code and some benchmarking data.

How Altris AI achieved 12% increase in model accuracy using SuperAnnotate

Altris AI compared SuperAnnotate and Labelbox and shared their experience on how SuperAnnotate decreased their annotation cost and drastically increased their annotation quality.

How SuperAnnotate helps researchers in Sweden and Italy speed up image annotation

Learn how researchers at the TACK project are using SuperAnnotate to speed up image annotation of their project.

How SuperAnnotate helped Percepto cut the time to complete annotation projects by 60%

Learn how Percepto was able to implement the scalable annotation infrastructure they were looking for, find high-quality outsourced annotation teams, and get lightning-fast annotations all by using SuperAnnotate.

How to effectively manage annotation teams during Covid-19

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

How to Detect 93% of Mislabeled Annotations While Spending 4x Less Time on Quality Assurance

In this article, we discuss automation tools within the SuperAnnotate platform that speed up the quality assurance process substantially.

Annotations for Aerial Imagery: Why Pixel Precision Will Be the New Norm

Overview of the advantages and disadvantages of various annotation types. Guidelines on how to speed up pixel-accurate annotations with novel approaches.