Documentation
  • Introduction
  • Tutorials
    • Getting started
    • Python SDK quickstart
    • Model-assisted labeling
  • How to annotate
    • Label images
      • View and navigate in the image interfaces
      • Image interface settings
      • Image segmentation interface
      • Image vector interface
    • Label 3D point clouds
      • View and navigate in the 3D interface
      • Upload, view, and overlay images
      • 3D interface settings
      • 3D point cloud cuboid interface
      • 3D point cloud vector interface
      • 3D point cloud segmentation interface
      • Merged point cloud view (for static objects)
      • Batch mode (for dynamic objects)
      • Smart cuboid propagation
      • 3D to 2D Projection
      • Tips for labeling cuboid sequences
    • Label sequences of data
      • Use track IDs in sequences
      • Use keyframe interpolation
    • Annotate object links (beta)
    • Customize hotkeys
  • How to manage
    • Add collaborators to a dataset
    • Create an organization
    • Configure the label editor
    • Customize label queue
    • Search within a dataset
    • Clone a dataset
    • Work with issues
    • Bulk change label status
    • Manage QA processes
  • How to integrate
    • Import data
      • Cloud integrations
    • Export data
      • Structure of the release file
      • Exporting image annotations to different formats
    • Integrations
      • Hugging Face
      • W&B
      • Databricks
      • SceneBox
    • Create an API key
    • Upload model predictions
    • Set up webhooks
  • Background
    • Main concepts
    • Sequences
    • Label queue mechanics
    • Labeling metrics
    • 3D Tiles
    • Security
  • Reference
    • Python SDK
    • Task types
    • Sample formats
      • Supported file formats
    • Label formats
    • Categories and attributes
    • API
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On this page
  • Create an organization
  • Create a dataset within an organization
  • Manage organization members
  • Organization role
  • Default dataset role
  • Leave an organization

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  1. How to manage

Create an organization

Organizations are shared accounts where teams can easily collaborate across many datasets.

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Last updated 2 years ago

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Each person that uses Segments signs into a personal account. Multiple personal accounts can collaborate on shared datasets by joining the same organization account, which owns the datasets. Administrators can manage memberships and create datasets within an organization.

Create an organization

To create a new organization, click the plus-icon in the top navigation bar and select “New organization”. Choose a username for your organization in the next screen.

When clicking the “Create organization” button, you will be taken to the organization account page.

Each member of an organization can quickly access it via the profile button in the top navigation bar.

Create a dataset within an organization

Only organization administrators can create new datasets within the organization

To create a new dataset within an organization, go to the organization account page and click the “New dataset” button. In the popup window, you will see that the organization is selected as the owner of the dataset.

Alternatively you can create a new dataset by clicking the plus-icon in the top navigation bar, selecting “New dataset”, and changing the owner from your personal account to your organization account manually.

Manage organization members

As an administrator, you can add new members to the organization and assign them a role.

From the organization account page, go to the “Settings” tab and click the “Members” subtab. Type the username of the user you want to add, and click “Add member”.

For each member, you can assign an “Organization role” and a “Default dataset role”.

Organization role

The organization role determines the role of a user within the organization itself.

There are only two organization roles, member or administrator. Their permissions are as follows.

Member
Administrator

Access the organization account and see other members

Create new organization datasets

Manage memberships and settings

Default dataset role

When creating a new dataset within an organization, all organization members will be added as collaborators to these datasets according to their default dataset role. Dataset collaborator roles are described in Add collaborators to a dataset.

Choose “None (do not add)” if you don’t want to add a member as a collaborator to new datasets by default.

Leave an organization

As a member you can leave an organization by going to the organizations tab on your own settings page, and clicking the "Leave organization" button.