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Model
People semantic segmentation network, finetuned on robotics AMR dataset, optimized for Issac Perceptor & Nvblox.
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| Field | Response |
|---|---|
| Generatable or reverse engineerable personally-identifiable information (PII)? | None |
| Protected classes used to create this model? | Developed customized dataset that included video from persons of different skin colors in different geographic settings. Unwanted bias is mitigated by the collection of data in different urban areas at different times of the day during typical working hours and outside of typical working times to get a diversity of races and skin tones. |
| Was consent obtained for any PII used? | Yes |
| How often is dataset reviewed? | Before 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 directly by NVIDIA? | Yes, PII was collected by NVIDIA. |
| 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 minimized to only what was required? | Yes |
| 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/about-nvidia/privacy-policy/ |