Private annotation is not one feature.
It is a set of decisions about where pixels go, who can see labels, and how releases leave your boundary.
Local inference is a privacy lever
When a model runs locally in the browser, you reduce remote inference exposure for the images in that workflow.
It does not replace broader security policies.
It is a practical option when:
- you want faster iteration on small batches
- you need to limit what leaves the workstation during prelabeling
Pair operational habits with annotation privacy and redaction.
Access control still matters
Private labeling fails if permissions are loose.
Strong defaults include:
- project membership that matches real teams
- clear owner vs annotator vs reviewer responsibilities
- exports that are deliberate, not accidental
For a broader operating checklist, use LabelOp Privacy Controls for Sensitive Image Data.
Exports are exits
Every export is a data movement event.
Treat exports like releases:
- who approved
- what split and label filter applied
- which format and version
If storage boundary matters too, compare LabelOp BYOK Storage for Annotation Teams.
In LabelOp
LabelOp is built around projects, roles, and auditability.
You can use local models for on-device batch-style runs when that matches your risk model, while still keeping collaboration and review in one workspace.
If you need custom integrations, scale, or dedicated deployment models, use the enterprise path on the site and talk with the team about your constraints.
Final takeaway
Privacy is a stack: inference location, access, and export discipline.
Pick the layers that match your actual risk, then write them down so new teammates do not undo them by accident.
FAQ
Does local inference mean zero cloud usage?
Not automatically.
It reduces certain remote inference paths during that workflow.
Your full stack still depends on how you store data and authenticate users.
Is on-premise the same as local browser models?
No.
Browser-local models are one privacy-friendly option.
On-premise or dedicated deployments are organization-wide architecture decisions.
What is the fastest privacy win?
Stop sharing exports through informal channels.
Use controlled exports with ownership and notes.