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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Anish Indukuri
IN

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.

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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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Tasin Hasan Joy
BD

Superannote I have had the opportunity to work on the platform for 4 months and have seen first-hand how intently they respond to our feedback and provide updates that boost efficiency even further. Few features in SuperAnnotate are just a lifesaver for annotators. It provides a great deal of editing capability on existing annotated images. This has been crucial in some of the work we have performed using this platform. Also with great ease of use coming from features like auto-segmentation and the superb project-based analytics generated to keep the management side organized, it’s almost impossible not to recommend SuperAnnotate. I have found this one of the only platforms to use Neural Network training, Quality Control, and AI-Augmentation. I hope to explore more of these features further for research purposes and project requirements.

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Valeria Belloni
IT

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.

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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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