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.

Best on the market For us as an ML first company, labeling quality has always been a top priority. So, while we were looking for potential annotation partners, SuperAnnotate stood out by being extremely supportive in setting up the pilot project in a speedy manner, so that we could assess labeling quality and velocity. Furthermore, they proactively onboarded us to their platform and are still very supportive as our projects are ongoing. Comparing to other companies we have worked with in the past, SA is the winner. Their platform offers an exceptional user experience that is well thought through, super easy to use, and also allows us to easily set up labeling and QA workflows such that our in-house QA team is seamlessly integrated into the process.

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.

SuperAnnotate: A great tool for data annotation SuperAnnotate is an awesome tool for the researchers/students who are working with the dataset preparation for computer vision related applications such as environment perception including object detection and semantic segmentation. It helped me a lot in my Masters' thesis. Recommended.

OAK-D deploy tool This annotation platform is so much trustworthy for development of computer vision on the edge tasks. Actually I'm working on deploying a detection model on the LUXONIS OAK-D, and has been a magnificent tool.