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 detect and count minute objects like houses or trees in a area, cars in parking lots, etc.
Detect poses of sports players for sports analytics, facial features for face recognition, prediction of pedestrians motion for autonomous vehicles.
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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