Extremely helpful and convenient Extremely helpful and convenient was looking for a tool to annotate documents for my master-thesis - found this via open-cv. good examples, easy to learn, and covers all my use-cases (separate folders for separate documents for instance). the webservice is top-notch, uploads work fast, and the entire project can be stored in one place and accessed from anywhere. Since i reached the limit for the free version, i reached out to the team, which got back to me instantly and gave me an appointment on the following day. the staff is very friendly, understanding and supportive! now i can conduct my research exactly the way i need - big thanks and a clear recommendation for anyone with a use case :)

We have Thank you Superannotate. Keep up the good work! been using their platform for… We have been using their platform for quite some time and I must take this opportunity to congratulate them for the kind of support they provide along with a fine platform that thrives to grow every single day.The support team maintains an availability around the clock as they have srategically place their offices in different time zones. Thank you Superannotate. Keep up the good work!

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.

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.