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Model
BEVFusion model to detect 3D objects from point cloud and RGB data.
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| Field | Response |
|---|---|
| Generatable or reverse engineerable personally-identifiable information ? | None |
| Protected classes used to create this model? | Not Applicable (No personal data) |
| Was consent obtained for any personal data used? | Not Applicable (No personal data) |
| How often is dataset reviewed? | Before Release |
| Is a mechanism in place to honor data subject right of access or deletion of personal data? | Not Applicable |
| If personal data collected for the development of the model, was it collected directly by NVIDIA? | Not Applicable |
| If personal data collected for the development of the model by NVIDIA, do you maintain or have access to disclosures made to data subjects? | Not Applicable |
| If personal data collected for the development of this AI model, was it minimized to only what was required? | Not Applicable |
| Is there provenance for all datasets used in training? | Yes |
| Does data labeling (annotation, metadata) comply with privacy laws? | Yes |
| Is data compliant with data subject requests for data correction or removal, if such a request was made? | Yes |
| Applicable NVIDIA Privacy Policy | https://www.nvidia.com/en-us/data-center/products/nvidia-ai-enterprise/eula/ |