Time per annotation
Cost per annotation
Well-designed tools to support large number of classes of interest.
Consensus models to verify each of the annotations by multiple users for label accuracy & annotation perfection.
Recursive checks from multiple users to detect all the objects of interest in the frame.
Used to best approximate the shape of objects captured from distant cameras.
Good for detection models for logos, street sign boards, facial and pose features in sports analytics, etc.
Coarse segmentation for weak supervision of your models to improve your model accuracy.
All shape annotations on single media
Support for hundreds of classes
Guaranteed highly accurate results
Contexual information from the data
Guaranteed accuracy. We know you’d have it no other way.
Use our API to get responses within minutes.
We do the heavy lifting so that you can relax.
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