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.

Keywords: Fast, Updates, Reliability SuperAnnotate is fast, have frequent updates, and easy to use. Wholeheartedly recommend this individuals and/or data labeling outfits. Users could literally feel how far the tool has come just months-in use due to the frequency of the updates they deploy. Two of their integral features require special note. The first is the Smart Segmentation tool which helped us speed up our work signfiicantly - particularly useful for geospatial images and other semantic/panoptic segmentation work. The second feature is its workflow, enabling a step-by-step guide for annotators. Its amazing how such a simple tool minimized the time and potential for errors in labeling operations.

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.

Hard not to recommend! I tried a few of the annotation platforms, but SuperAnnotate seems to be one of the fastest. It takes much less time to load datasets. It also is a good example of an organized annotation platform. The UI is a familiar one - reminiscent of Photoshop and is easy to use. The tools are easy to locate and operate with. Since it offers both vector and pixel-based editors a lot of projects are covered by this platform. In short, SuperAnnotate provides a fast, easy and reliable experience while annotating. I also love the fact that SuperAnnotate pushes regular updates and their technical support is spontaneous. We had an issue with loading times on a project where a single image had 600-700 instances on average. This slowed the platform down to the point that it was not feasible to work anymore. We raised the issue with the technical team and they solved this rather complex development challenge in a span of a week! Some of the drawbacks of using SuperAnnotate would be the fact that they do not offer point cloud and the video annotation tooling they offer can be improved to compete with other industry players. I assume they are progressing on these kinds of annotations.

The best annotation tool in the market For our company, which specializes in ML solutions, we have tried several popular tools for image annotation/labeling, and SuperAnnotate had the easiest to use and the most relevant tool set for us. Particularly their automatic image segmentation is gold! It speeded up the process a lot. It's been more than a year we are using their services and we are very satisfied with it.