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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
Verified to have met prescribed quality standards?Yes.
Target Key Performance Indicator(s) (KPI(s)):mean Averaged Precision (mAP).
Model Application(s):Object detection for robotics and autonomous machines.
Describe life critical application (if present):None.
Use Case Restrictions:Should not be used for life critical applications.
Model and dataset restrictions:The Principle of least privilege (PoLP) is applied limiting access for dataset generation and model development. Restrictions enforce dataset access during training and dataset license constraints adhered to.

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