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  • ๐Ÿ’กIntroduction
  • ๐Ÿš€Unitlab Annotate
  • Workspace Management
    • ๐Ÿ Create a Workspace
    • ๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘งโ€๐Ÿ‘ฆInvite Members
    • โ›ณRole-Based Access
  • Project Management
    • ๐Ÿ“ŒSetup a Project
    • ๐Ÿ–Œ๏ธAnnotation
    • ๐Ÿ“‰Performance Analytics
  • Auto Labeling
    • ๐Ÿช„Segment Anything (SAM)
    • ๐Ÿค–Batch Auto-Annotation
    • โน๏ธCrop Auto-Annotation
  • Ai models
    • ๐Ÿง Model Integration
    • ๐Ÿ”งModel Management
    • ๐ŸŽกHow To Use?
  • AUTOMATION WORKFLOW
    • โ›“๏ธAutomation Workflow
  • Dataset Management
    • ๐Ÿ›ฐ๏ธRelease Datasets
    • โš™๏ธManage Datasets
    • ๐ŸŒ€Clone Datasets
  • CLI/Python SDK
    • ๐Ÿ› ๏ธGet started
    • ๐Ÿ’ปUnitlab CLI
    • ๐Ÿ›ก๏ธUnitlab Python SDK
  • How to integrate
    • ๐Ÿ”‘Create an API key
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  1. CLI/Python SDK

Get started

Manage and interact with your projects and datasets faster.

PreviousClone DatasetsNextUnitlab CLI

Last updated 1 year ago

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is a powerful data annotation platform offering various valuable functionalities. You can use the web platform to create projects, upload data samples, create releases, and download labels. Alternatively, you can leverage the Unitlab CLI/Python SDK. With the CLI and SDK, you can programmatically manage projects, upload samples, create and manage releases, and download labels, which is particularly useful when dealing large datasets. The CLI/Python SDK is faster than the web platform and allows you to focus on other important objectives. Choose the method best suits your needs and enjoy a seamless data annotation experience.

This guide shows you how to use the most common functions of the CLI/Python SDK. See the CLI and Python SDK reference documentation for a list of all the functions.

To get started with the CLI/Python SDK, you'll need to install it using pip:

pip install --upgrade unitlab

To proceed further, please refer to the CLI and Python SDK documentation.

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