Quick start

1. 1

   Choose your installation method and start Label Studio:

   Installation

   • PIP
   • Brew
   • Git
   • Docker

   # Install the package
   # into python virtual environmentpip install -U label-studio# Launch it!label-studio

2. 2

   Open Label Studio at http://localhost:8080.

3. 3

   Sign up with an email address and password that you create.

4. 4

   Click Create to create a project and start labeling data.

5. 5

   Name the project and optionally enter a description and select a color.

6. 6

   Click Data Import and upload the data files that you want to use. If you want to use data from a local directory, cloud storage bucket, or database, skip this step for now.

7. 7

   Click Labeling Setup and choose a template and customize the label names for your use case.

8. 8

   Click Save to save your project.

9. 9

   Invite other users to your project from the Organization page under Settings.

   Note: In the open source version, all users have admin-level access.

You're ready to start labeling and annotating your data!

Label Studio Starter Cloud

HumanSignal also offers Label Studio as a hosted service that includes additional features beyond the open source version, such as role-based access control, reviewer workflows, and team management. The platform is architected to provide the application and labeling interfaces without HumanSignal ever having access to your data.

• ✦ Data and control planes are separate entities
• ✦ Data is loaded directly into the annotator browser, bypassing our servers
• ✦ HumanSignal doesn't need access to the data and doesn't store the data
• ✦ Optionally enable the VPN connection to protect URLs
• ✦ Once connected, TLS encryption is used for data in transit (when connecting and reading the URLs from bucket and sending annotations back to cloud storage)

Label Studio Enterprise extends the open-source platform with features designed for production-scale annotation pipelines, team collaboration, and organizational security requirements.