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.

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.

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.

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.

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.