Great team, great product, great support We needed an experienced team with great software to help us develop a new pose detection algorithm. We needed to find the right model for our project which required experimentation and iteration with the annotation team. The Superannotate team has the right team at the right price. Their software, customer support and annotators did a great job of executing on our model.

Convenient, easy to capture edges, cool workflow. SuperAnnotate is very adaptable. All the tools are very reliable and helps a project run smoothly. I love the frequent updates the comfortable shift to a new UI or feature immersion. Their smart segmentation work is awesome and reduces work for semantic-tier labeling more than 50% by my account.

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.

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.