One of the best integrated annotation workflows I've used I am a scientific researcher in the biomedical imaging community, and I can say first-hand that the SuperAnnotate platform addresses a significant pain point for computer vision researchers. Obtaining expert annotations is often one of the first steps for a medical imaging project. Previously, I had used different open-source or commercial tools, but I often had to cobble together more than one piece of software to get a complete annotation pipeline. This was the first platform I've liked that includes an integrated, streamlined workflow for easy-to-use annotation (with AI augmentation), quality control, as well as neural network training. The team is responsive to feedback to improve the platform, and there are new features that I have yet to try but I am very pleased with the service as is. Note: I have also left a similar review on G2.

I think they are the fastest to date. In terms of speed, SuperAnnotate beats out most of the competitors in the space. I love their automatic segmentation tool.

I especially like the ability to draw… I especially like the ability to draw contours by just dragging the mouse-cursor or apple-pencil. It's a life saver compared to free tools like VGG-VIA.

An outstanding solution for image annotation Superannotate provides an online platform that represents a very powerful instrument for image annotation. It allows people to work together on the same project and check the quality of the annotations. Among the tools it provides, the “Smart Segmentation” option is excellent! It guides annotators during the labeling and speeds up the process a lot.

5* - Great efficient tool with good UX and an extremely helpful Customer service team. Our main consideration for a tool was something that could handle an extremely large data set with around a million to 2 million images. We have shortlisted a lot of tools but we ended up choosing super-annotate as it had an user friendly UX and very high rate of annotation. The way we have handled a team of 40-50 annotators was very easy and hassle free.