How Spacept accelerated annotation projects with SuperAnnotate

SuperAnnotate’s pixel-accurate and user-friendly tools, particularly the Smart Segmentation tool, improved the quality of Spacept’s annotations.

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.

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.

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.

SuperAnnotate Desktop: A better alternative to free annotation tools

As part of our partnership with OpenCV, we are launching the best free annotation tool for the computer vision community.

AI Annotation During Covid-19

This article discusses one of the main issues when getting high-quality AI training data. Managed Crowdsourcing Services are becoming more popular because of the ongoing pandemic that forces teams to work from home. This makes it quite difficult for professional service providers to keep the same level of annotation quality and speed they used to provide when employees worked in the office. For computer vision engineers or service companies that manage such teams, we propose multiple techniques which makes the management of such teams fast and efficient without compromising annotation quality.

Why pixel precision is the future of the Image Annotation

In this post, I will share some ideas related to image annotation that I accumulated during my PhD research. Specifically, I will discuss the current state-of-the-art annotation methods, their trends, and future directions. Finally, I will briefly talk about the annotation software we are building and give a little preview about our company — SuperAnnotate.

Introducing SuperAnnotate

An annotation automation platform by SuperAnnotate: designed for researchers, by researchers In this article, I would like to present our new annotation platform (, share its story and explain why we decided to provide the platform to the researchers for free.