Model
NVIDIA Nemotron-Parse v2.0 - document understanding VLM: image in, structured text (with bboxes and semantic classes) out.
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Privacy
| Field | Response |
|---|---|
| Generatable or reverse engineerable personal data? | No |
| Personal data used to create this model? | Yes |
| Was consent obtained for any personal data used? | Unknown (Externally-Sourced Data) |
| How often is dataset reviewed? | Before release and as needed in response to dataset, model, or policy changes. |
| Is a mechanism in place to honor data subject right of access or deletion of personal data? | Unknown (Externally-Sourced Data) |
| If personal data was collected for the development of the model, was it collected directly by NVIDIA? | No |
| If personal data was 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 was collected for the development of this AI model, was it minimized to only what was required? | Yes |
| Was data from user interactions with the AI model (e.g. user input and prompts) used to train the model? | No |
| 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? | No, not possible with externally sourced data. |
| Applicable Privacy Policy | NVIDIA Privacy Policy |