Superannotate

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5.00
Based on 20 Reviews

5

100.00%

4

0.00%

3

0.00%

2

0.00%

1

0.00%
About Superannotate

SuperAnnotate is the world's leading platform for building the highest quality training datasets for computer vision and NLP. With advanced tooling and QA, ML and automation features, data curation, robust SDK, offline access, and integrated annotation services, we enable machine learning teams to build incredibly accurate datasets and successful ML pipelines 3-5x faster. By bringing our annotation tool and professional annotators together we've built a unified annotation environment, optimized to provide integrated software and services experience that leads to higher quality data and more efficient data pipelines.

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Jeff Broderick
GB

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.

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Md Maksudur Rahman Mithu
BD

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.

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Adrien Deliège
BE

Excellent annotation tool I tried the free desktop tool. It works really well! Pleasant, intuitive, fast, it can definitely serve for small to medium size projects, as advertised. The annotations are accurate, the .json format to save them is perfectly appropriate. I'll give it 5 stars when it is possible to annotate videos rather than just images. Great tool anyway! [EDIT September 2021] Video annotation is now available, it really is a perfect tool, 5 stars without doubt!

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David F
AT

Best on the market For us as an ML first company, labeling quality has always been a top priority. So, while we were looking for potential annotation partners, SuperAnnotate stood out by being extremely supportive in setting up the pilot project in a speedy manner, so that we could assess labeling quality and velocity. Furthermore, they proactively onboarded us to their platform and are still very supportive as our projects are ongoing. Comparing to other companies we have worked with in the past, SA is the winner. Their platform offers an exceptional user experience that is well thought through, super easy to use, and also allows us to easily set up labeling and QA workflows such that our in-house QA team is seamlessly integrated into the process.

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Shegufta Zaman
BD

Hard not to recommend! I tried a few of the annotation platforms, but SuperAnnotate seems to be one of the fastest. It takes much less time to load datasets. It also is a good example of an organized annotation platform. The UI is a familiar one - reminiscent of Photoshop and is easy to use. The tools are easy to locate and operate with. Since it offers both vector and pixel-based editors a lot of projects are covered by this platform. In short, SuperAnnotate provides a fast, easy and reliable experience while annotating. I also love the fact that SuperAnnotate pushes regular updates and their technical support is spontaneous. We had an issue with loading times on a project where a single image had 600-700 instances on average. This slowed the platform down to the point that it was not feasible to work anymore. We raised the issue with the technical team and they solved this rather complex development challenge in a span of a week! Some of the drawbacks of using SuperAnnotate would be the fact that they do not offer point cloud and the video annotation tooling they offer can be improved to compete with other industry players. I assume they are progressing on these kinds of annotations.

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