With more than 5 years of constant improvement, proved by hundreds of businesses, our image labeling suite sets the highest industry standard on the market today. Learn more ➡️
Precise tools for pixel-accurate annotations make any task from object detection to instance segmentations simple and fast. Learn more ➡️
Apart from usual tools like rectangle or brush, Supervisely comes with “smart” labeling tools based on a collection of class-agnostic neural networks that can be further trained on your data. Learn more ➡️
Trainable & customizable |
Designed for any object |
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| Neural network in the core of the smart tool can be re-trained to better fit your very unique case and produce unprecedented results with just a little bit of extra data. | Smart tool is class-agnostic — it was not trained to capture specific objects, but rather any forms that stand out. |
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Successful image labeling requires much more than just annotation tools like brush or rectangle. Supervisely has comprehensive set of features that distinguish it from yet another labeling editor. Learn more ➡️
image & object tags |
Image & object filters |
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huge resolutions |
Supports 1000+ objects per image |
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visual configuration |
hotkeys |
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Our labeling suites are best-in-class, but even the best tools cannot fit every possible scenario. Sometimes, to achieve incredible results in annotation performance and quality a custom labeling solution with a tailored user interface is required.
With Supervisely Apps it's easy to build custom UIs for any task. Implement logic with Python and create comprehensive interfaces using our library of widgets, without worrying of deployment, integration, format conversion and other boring things.
Create image groups inside your dataset by assigning a grouping tag. View and label grouped images together, compare annotation results or couple dependednt imagiary such as .nrrd studies.
DICOM and NRRD studies |
Multi-window labeling |
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