DataGym.ai
  • DataGym.ai
  • Getting Started
  • Project
    • What is a project?
    • Create a new project
    • Update a project
    • Delete a project
    • Connect a dataset
    • Export data
    • Import Data
  • Dataset
    • What is a dataset?
    • Create a new dataset
    • Update a dataset
    • Connect with AWS S3
    • Delete a dataset
    • Manage images
      • Upload to DataGym.ai
      • Add public links
      • Synchronize with AWS S3
    • Connect to a project
    • Use the review mode
  • Label configuration
    • What is a label configuration?
    • Configuration entry
    • Entry types
    • Creating an entry
    • Editing an entry
    • Duplicating an entry
  • Label mode
    • What is the label mode?
    • Entry-list
    • Value-list
    • Task control
    • Toolbar
    • Workspace
    • AI-assisted labeling
    • Video labeling
  • Tasks
    • What is a task?
    • Process a task
    • Manage Tasks
  • AI-Assistant
    • AI-assisted pre-labeling
    • Object Classes
  • API Token
    • API
    • Manage API Token
  • Account-Management
    • Account Settings
    • Organisation-Management
  • Python API
    • Getting Started
    • Projects
    • Labeled data
    • Datasets
    • Images
    • Label configuration
    • Uploading COCO
  • Changelog
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On this page
  • Label images fast and easy
  • Manage Projects

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DataGym.ai

How DataGym can help you.

NextGetting Started

Last updated 4 years ago

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DataGym.ai is an online tool to easily label and annotate pictures to accelerate the development and go-to-market of your AI/ML product.

Label images fast and easy

The core feature is the easy to use workspace.

This editor is used to draw lines, bounding boxes and polygons or highlight points within images. The powerful AI-assisted labeling supports you in speeding up this time consuming job.

Manage Projects

All the open tasks are managed on the projects page where they can be accessed by all the labelers.

Individual users or whole teams can label and annotate the images together to get the labeled data fast and easy. The images can be uploaded and managed in and then used in multiple different projects.

Project owners set up the only once for all that should be processed by the labelers:

datasets
label configuration
tasks
The classifications and annotations are defined by the project admin.
Speed up the labeling process with the AI-assisted labeling.