Model
—
Retail Object DetectionDINO (DETR with Improved DeNoising Anchor Boxes) based object detection network to detect retail objects on a checkout counter.
Use the NGC CLI to download:
Copied!
| Field | Response |
|---|---|
| Generatable or reverse engineerable personally-identifiable information (PII)? | None |
| Protected classes used to create this model? | None |
| 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/ |