Member roles¶

When you create a new member, you need to assign them a role. Each role has a list of permissions that define what this role can do in the system.

The following table provides the list of member roles that are available in Robovision AI and their permissions.

You can	Administrator	Labeler	Data scientist
Create and edit projects
Manage recording sessions
Import and export samples, including annotations and tags
Manage classes
Label samples
Manage tags
Use charts
Train and test models
Manage datasets
Run predictive labeling
Deploy models for inference
Import and export inference setup
Manage members
Manage resources
Manage cameras
Manage brand assets
Manage connection to another Robovision AI platform

When you connect two Robovision AI platforms or Robovision Edge and a Robovision AI platform, you need to enter the credentials of the member from the platform you are connecting to. Therefore, the permissions of this member on the "target" platform are taken into account, not the permissions of the member who establishes the connection on the "source" platform. The following table provides the list of member roles in the "target" Robovision AI platform whose credentials can be used to establish and manage the connection.

You can use member's credentials to	Administrator	Labeler	Data scientist
Connect to another Robovision AI platform
Connect from Edge to Robovision AI

You can edit the permissions of the Labeler and Data scientist roles, but not the Administrator's permissions.