Model
NVOF is a deep learning based optical flow estimation and stereo matching solution.
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| Field | Response |
|---|---|
| Generatable or Reverse engineerable personally-identifiable information? | Neither. |
| Was consent obtained for any PII used? | Yes. |
| Protected classes used to create this model? | Age, Gender, Race, Skin Colors. |
| How often is dataset reviewed? | Before Every Release. |
| Is a mechanism in place to honor data subject right of access or deletion of personal data? | Yes. |
| If PII collected for the development of the model, was it collected by NVIDIA? | Yes. |
| If PII collected for the development of the model by NVIDIA, do you maintain or have access to disclosures made to data subjects? | Yes. |
| If PII collected for the development of this AI model, was it minimised to only what was required? | Yes. Dataset does not contain audio or GPS location data. |
| Is there provenance for all datasets used in training? | Yes. |
| Are we able to identify and trace source of dataset? | 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/about-nvidia/privacy-policy |