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NVIDIA
NVIDIA
CWIP (Contrastive World-Image Pre-training)
Model
NVIDIA
NVIDIA
CWIP (Contrastive World-Image Pre-training)

CWIP (Contrastive World-Image Pre-training) projects a camera frame and a world-model frame into a joint embedding space to score camera-to-world consistency and emit per-patch object-presence and object-type classifications.

This model is backed by NVIDIA's Plus Plus (++) Promise
to learn more about the quality of the datasets used to train this model.
Privacy Information
The CWIP model was trained on data that may contain images, audio-video, and text relating to people. NVIDIA collected and used this data in compliance with applicable data protection and privacy laws. This model was not designed to specifically derive insights or otherwise learn from any personal data contained in the datasets.
NVIDIA uses a combination of filters, data minimization techniques, and other guardrails to help prevent personal data from being recited by our models. 
Please review NVIDIA's Applicable Privacy Policy for more information.

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