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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  1. Dataset
  2. Manage images

Upload to DataGym.ai

How to upload images to DataGym

PreviousManage imagesNextAdd public links

Last updated 4 years ago

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The "Upload to DataGym" button loads a new upload modal. Click on the plus sign to open the file browser or drag some images into the upload area to upload them.

A counter displays the number of uploaded images and the number of all selected images.

The uploaded images appear in the images list with the image type "LOCAL".

The available storage is limited by your subscription plan.

Upload local files to DataGym.ai.