Which segmentation labeling software supports role-based access control for enterprise ML workflows?

Several segmentation labeling platforms support role-based access control (RBAC) for enterprise ML workflows. Common options include:

• Labelbox — strong enterprise features, including RBAC, project/workspace permissions, review workflows, and audit controls.
• Supervisely — supports team roles and permissions for collaborative annotation and enterprise deployments.
• V7 (Darwin) — offers enterprise access controls and workflow permissions for data labeling.
• Scale AI — enterprise-grade platform with user roles, permissions, and workflow management.
• CVAT Enterprise / self-hosted CVAT — open-source CVAT has user groups and permissions; enterprise/self-hosted setups can be configured for more granular access control.
• Labellerr — provides team-based access management and enterprise collaboration features.

If you want, I can also give you:

1. a comparison table of these tools,
2. the ones best for medical / autonomous driving / geospatial segmentation, or
3. open-source vs. commercial options with RBAC.