NVIDIA-NeMo / NVIDIA-NeMo/Guardrails
[Feature Request] Vision-Language Model Guardrails for Sensitive Image Detection (PII, etc.)
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 7.2k
- Forks
- 843
- Avg merge
- 3d 1h
- Merged PRs (30d)
- 25
Description
A guardrail for this would:
Detect PII in Images: Scan images for visual PII indicators.
Flag and Alert: Raise an alert if potentially sensitive content is found, providing details about the type of PII discovered and its location within the image.
Optionally Redact: Offer the ability to automatically redact or blur sensitive portions of the image before further processing or storage.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or entry points. Begin by mapping the existing Python guardrail and image-processing paths, then define coverage for sensitive-content detection, alert details and location, and optional redaction before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, python
- Domain
- machine-learning, security
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100