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.

Hands down, the best annotation tool on the market Looked through half a dozen of annotation tools. This one was the most intuitive, the fastest, the most flexible. Judge: spent 3 days looking through others, Got up to speed and annotated 100 images on a free plan within an hour and sent the json file with the results to our developers. They have features that speed up annotations.

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.

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 :)