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.

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.

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.

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 :)

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.