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.

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.

Superannote I have had the opportunity to work on the platform for 4 months and have seen first-hand how intently they respond to our feedback and provide updates that boost efficiency even further. Few features in SuperAnnotate are just a lifesaver for annotators. It provides a great deal of editing capability on existing annotated images. This has been crucial in some of the work we have performed using this platform. Also with great ease of use coming from features like auto-segmentation and the superb project-based analytics generated to keep the management side organized, it’s almost impossible not to recommend SuperAnnotate. I have found this one of the only platforms to use Neural Network training, Quality Control, and AI-Augmentation. I hope to explore more of these features further for research purposes and project requirements.

Extraordinary platform for labeling Fully satisfied with SuperAnnotate's platform. Obvious advantages over other platforms particularly moving very fast and smooth during annotation work. From where I come from, the network tends to be a problem with frequent dips that rendered other platforms in the space along with image labeling work very hard. SuperAnnotate is amazing in the sense that it caches both server-side and individual machine data which saves me a lot of time.

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.