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.

One of the best integrated annotation workflows I've used I am a scientific researcher in the biomedical imaging community, and I can say first-hand that the SuperAnnotate platform addresses a significant pain point for computer vision researchers. Obtaining expert annotations is often one of the first steps for a medical imaging project. Previously, I had used different open-source or commercial tools, but I often had to cobble together more than one piece of software to get a complete annotation pipeline. This was the first platform I've liked that includes an integrated, streamlined workflow for easy-to-use annotation (with AI augmentation), quality control, as well as neural network training. The team is responsive to feedback to improve the platform, and there are new features that I have yet to try but I am very pleased with the service as is. Note: I have also left a similar review on G2.

Easy to use and great costumer help SA is easy to use, works intuititively and the support is amazing. Have been using it for nearly a year now and the platform keeps on improving. Can definitely recommend!

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.

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.