Team Collaboration

Vision AI Label Studio provides powerful collaboration features for teams working on annotation projects.

User Roles and Permissions

The platform supports different user roles:

• Admin: Full access to all projects and settings
• Manager: Can create and manage projects
• Annotator: Can work on assigned tasks
• Reviewer: Can review and approve annotations

Assigning Roles

Assign roles through the team management interface:

import { TeamManagement } from "vision-ai-label-studio/team"
;<TeamManagement projectId="your-project-id" defaultRole="annotator" />

Workflow Management

Create custom workflows for your annotation projects:

1. Setup: Define labels, instructions, and quality metrics
2. Annotation: Team members annotate assigned images
3. Review: Reviewers check annotations for quality
4. Correction: Annotators address feedback
5. Approval: Final approval of annotations

Task Assignment

Distribute work efficiently among team members:

• Automatic assignment based on workload
• Manual assignment for specialized tasks
• Batch assignment for similar images

Example configuration:

import { TaskAssignment } from "vision-ai-label-studio/workflow"
;<TaskAssignment
  strategy="balanced"
  maxTasksPerUser={50}
  priorityField="difficulty"
/>

Real-time Collaboration

Work together in real-time with these features:

• Live updates of annotations
• In-app messaging
• Comment threads on specific annotations
• Activity feed

Progress Tracking

Monitor project progress with detailed analytics:

• Completion rates by user and category
• Quality metrics and agreement scores
• Time spent on annotations
• Productivity trends

Next Steps

Learn more about:

• Quality Assurance
• Advanced Features
• API Integration