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NVIDIA
SyntheticaDETR
Model
NVIDIA
NVIDIA
SyntheticaDETR

SytheticaDETR is a real-time object detection model based on a transformer architecture trained entirely in simulation and works on real images zero-shot.

This model is backed by NVIDIA's Plus Plus (++) Promise
to learn more about the quality of the datasets used to train this model.
FieldResponse
Participation considerations from adversely impacted groups (protected class) in model design and testing:Not Applicable. Model is trained to detect a class of objects that excludes people.
Measures taken to mitigate against unwanted bias:Training dataset was synthetically-generated. The training data does not contain human faces, skin color, gender or any PII. Hence, unwanted bias is completely avoided.

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