Solving Data’s Last Mile Problem
Go from unlabeled data to trusted data with a single, easy-to-use data labeling platform for quality insights.
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Go from unlabeled data to trusted data with a single, easy-to-use data labeling platform for quality insights.
More than 97% of data engineers we've spoken to do not consume labeled datasets until they can measure, verify, and trust the quality of the labeling. This process today is manual, time consuming, and resource intensive.
Have full control to improve your project quality in real-time with visibility on important annotation metrics like label distribution and labeling performance.
“The best interface for self-service labeling. Everything from uploading data to seeing it labeled in real time was really cool. This is just way simpler to use compared to Amazon Sagemaker and LabelBox. I was also very impressed with how the platform delivered exactly what we needed in terms of label quality. [SUPABOLT] gives you peace of mind knowing you will get exactly what you need upon hitting the start button.”
“The annotators were really quick. I would upload and 5 minutes later - 10 images done. I checked 5 minutes later - 100 images done.”
“What surprised me is the amount of insight I could gather with smaller batches of data - not only did I discover more edge cases, I could also quickly change up my instructions and launch a revised batch within hours. I was also able to view the labels as they were being generated, which gave me quick feedback about the label quality, rather than waiting for the whole batch. This replaced my standard manual QA process using external tools like Voxel's Fiftyone, as the labels were clear and easy to parse through in real-time.”
"The team at [Supa] has been very professional & easy to work with since we started our collaboration in 2019. They've provided us with good quality judgments to train, tune, and validate our Search & Recommendations models."
Get insights to turn label noise into consistent, trusted, and usable data.
No code project set up. Upload your data, set up labels and instructions – and you're good to go. Get a data labeling project started in under 10 minutes!
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Collaborate with your team and our annotators to surface labeling insights. Discover edge cases and labeling noise through our feedback loop and QA tools.
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Our annotators are hand-picked and trained to annotate well and give you feedback to iterate on instructions.
We support bounding box and polygon annotations, as well as image classification projects.
Start a project without a credit card. Only pay when you've used up your $50 free credit on us. View our fees here.
If you're stuck at any point in the journey, we're here to help – especially with labeling instructions.
Visualise your labels, calculate precision scores and get a breakdown on mislabeled annotations.
Receive continuous feedback on your project so that you can make adjustments to improve quality.
If you’re looking for a dedicated project manager who will design and tailor a data labeling project for you, speak to our Enterprise experts.
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Level up your data-centric AI journey with quality insights.
Get Started
![Measuring Annotation Task Complexity [Part 1]](https://uploads-ssl.webflow.com/63024b20439fa6bd66ee3465/6336d14c9694c715209d3ef7_Client%20Testimonial%20(1).png)
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