# Documentation

## Unitlab

- [Introduction](https://docs.unitlab.ai/introduction.md): Unitlab AI - Collaborative and AI-powered platform to manage, label, and enhance your data. Help your machine learning teams automate the data annotation workflow.
- [Create a Workspace](https://docs.unitlab.ai/workspace-management/create-a-workspace.md): Create, Prepare, and Manage Your Workspaces
- [Invite Members](https://docs.unitlab.ai/workspace-management/invite-members.md): Invite Members for Collaboration on Your Projects
- [Role-Based Access ](https://docs.unitlab.ai/workspace-management/role-based-access.md): Unitlab Annotate: Manage Members
- [Setup a Project](https://docs.unitlab.ai/project-management/setup-a-project.md): Get started with data annotation instantly
- [Annotation](https://docs.unitlab.ai/project-management/annotation.md): Annotate images for your computer vision projects
- [Performance Analytics](https://docs.unitlab.ai/project-management/performance-analytics.md): Overview of Project Statistics, Progress, and Member Performance Analytics
- [Segment Anything (SAM) ](https://docs.unitlab.ai/auto-labeling/segment-anything-sam.md): Magic Touch  - Segment Anything Model (SAM)
- [Batch Auto-Annotation](https://docs.unitlab.ai/auto-labeling/batch-auto-annotation.md): Do you need a fast auto-annotation tool? Batch Auto-Annotation is here to help!
- [Crop Auto-Annotation](https://docs.unitlab.ai/auto-labeling/crop-auto-annotation.md): Crop Auto-Annotation - Interest Area Auto-Annotation
- [Model Integration](https://docs.unitlab.ai/ai-models/model-integration.md): Bring your own pre-trained models to Unitlab Annotate
- [Model Management](https://docs.unitlab.ai/ai-models/model-management.md): Best practices for managing and using AI models in Unitlab Annotate
- [How To Use?](https://docs.unitlab.ai/ai-models/how-to-use.md): Set up your project with built-in or Integrated AI models in Unitlab Annotate
- [Automation Workflow](https://docs.unitlab.ai/automation-workflow/automation-workflow.md): Run automated workflows within Unitlab Annotate
- [Release Datasets](https://docs.unitlab.ai/dataset-management/release-datasets.md): Release datasets from your projects
- [Manage Datasets](https://docs.unitlab.ai/dataset-management/manage-datasets.md): Dataset Management and Version Control
- [Clone Datasets](https://docs.unitlab.ai/dataset-management/clone-datasets.md): Clone Datasets and create your own version
- [Get started](https://docs.unitlab.ai/cli-python-sdk/get-started.md): Manage and interact with your projects and datasets faster.
- [Unitlab CLI](https://docs.unitlab.ai/cli-python-sdk/unitlab-cli.md): Use the Unitlab CLI to interact with your projects and datasets.
- [Unitlab Python SDK](https://docs.unitlab.ai/cli-python-sdk/unitlab-python-sdk.md): With Unitlab in your Python code
- [Create an API key](https://docs.unitlab.ai/how-to-integrate/create-an-api-key.md): Authenticate Unitlab's CLI and SDK with an API key