DataGym.ai
Search…
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
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
Powered By GitBook
Connect with AWS S3
How to connect DataGym.ai with AWS S3
DataGym.ai works well with AWS S3 buckets so you can store all your images there and synchronise with your AI annotation tool.
The AWS S3 support may be limited by your subscription plan.
To connect our tool with AWS S3 fill the form within the AWS S3 tab. DataGym.ai needs to know some information about the bucket including:
  • A unique name to identify that connection. This attribute is only used within DataGym.ai.
  • The bucket name from AWS S3.
  • The location path is optional and can be used to limit the access to that path within the bucket.
  • The region where the bucket is located.
  • Some API credentials (access key and private key) to read the files within the bucket.
Please fill the form.
While saving the form or updating the configuration DataGym.ai synchronises the dataset the first time and displays the response beside the form.
Dataset - Previous
Update a dataset
Next - Dataset
Delete a dataset
Last modified 2yr ago
Copy link