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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  • Clone an existing dataset
  • Clone an example dataset

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  1. How to manage

Clone a dataset

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Last updated 1 year ago

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Clone an existing dataset

To copy the contents of a dataset to a new dataset (with possibly a different task type), you can make use of the clone functionality.

You can only clone public datasets and datasets in which you are an administrator.

  1. Open the dataset you want to clone.

  2. Press the clone button at the top right.

  3. Choose the desired task type of the cloned dataset.

  4. Press the Clone button. When the dataset is cloned, you will be redirected to the cloned dataset.

Clone an example dataset

To try out the different interfaces, a number of different example datasets are provided. These can be cloned into your personal account.

  1. Either go to your Segments.ai homepage or to any organization you are an administrator of

  2. Click on the dropdown next to 'New dataset' and select 'Clone an example dataset'

  3. Select a data type and a task type, and press the Clone button.