Labelo Documentation

Welcome to the Labelo documentation! Empower your AI projects with Labelo's comprehensive tools and features.

Labelo

Labelo is an open-source data labeling tool designed to streamline the process of annotating, reviewing, and managing various types of data across multiple projects and teams.

📚 Get Started

Navigate through our documentation sections to get started:

• Introduction – Learn about Labelo's key features and how it can help your project.
• Install & Setup – Step-by-step guide to install Labelo using pip, Docker, or from source.
• Project Management – Learn how to create, organize, and manage multiple projects.
• Task Management – Understand how to create, manage and assign tasks.

🚀 Explore More

Dive deeper into other sections of Labelo documentation:

• Data Annotation & Review – Tools and workflows for annotating and reviewing data.
• Import & Export Data – Learn to import and export data in various formats.
• Organization & Users – Manage users, teams, and organization settings.
• Workspace Management – Organize your workspace for better collaboration.

✨ Key Features

• Multi-Project Support: Manage multiple data annotation projects from a single platform.
• User & Team Management: Assign tasks and roles efficiently within your organization.
• Diverse Data Types: Label text, images, audio, video, time series, and more.

📄 Documentation Sections

• Introduction – Overview of Labelo and its features.
• Install & Setup – Guide to install and set up Labelo.
• Project Management – Learn to manage your projects effectively.
• Task Management – Manage tasks and collaborate efficiently.
• Data Annotation & Review – Detailed guide to data annotation workflows.
• Import & Export Data – Learn how to import and export your data.
• Organization & Users – Manage users and organization-level settings.
• Workspace Management – Organize your workspace for enhanced productivity.