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 for training perception models in non-environmental objects of interest.
High utility in autonomous vehicles and safety surveillance cameras where information of every pixel is critical and may influence the accuracy of the perception model.
Used to individually segment objects of the same class by assigning instance unique IDs to each object.
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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