Let’s dive into the fundamentals of video annotation for machine learning. Explore the opportunities and challenges while annotating videos.

The story about vision of vision.

Wondered why training data is paramount to your ML model performance? Get all your questions answered in this article.

Thinking about outsourcing your data annotation project? Find out whether it's the right choice and how to choose the perfect service provider.

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

Have you ever wondered how to scale your annotation pipeline fast? Make sure to check out the top 7 considerations for better results.

Explore the most common use cases of image annotation to better understand how human-powered AI and ML automation optimizes real-life operations.

We are thrilled to announce that SuperAnnotate has been named to the 2021 CB Insights AI 100 as one of the most promising AI companies in the world.

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

We cover the results of applying different Active Learning methods for semantic segmentation, integration to our platform, the code, and some benchmarking data.

Explore the application of the Learning Loss for Active Learning algorithms in object detection and human pose estimation tasks within this article on Active Learning.

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