Universal Data Tool
Search…
Universal Data Tool
Universal Data Tool Docs
Installation
Running On-Premise
Collaborative Labeling
Building and Labeling Datasets
Image Segmentation
Image Classification
Text Classification
Named Entity Recognition
Entity Relations / Part of Speech Tagging
Audio Transcription
Data Entry
Video Segmentation
Composite Interfaces
Landmark / Pose Annotation
Importing Data
Upload or Open Directories
Import File URLs
Import COCO Images
Import from Google Drive
Import from AWS S3 Bucket
Import from CSV or JSON
Import using AWS Cognito
Import Text Snippets
The Format .udt.json
What is the .udt.json format?
What is the .udt.csv format?
Machine Learning
Jupyter Notebook Integration
Import Datasets into Pandas
Fast.ai
Integrate with Any Web Page
Integrate with the Javascript Library
Getting Started with React
Train your Workforce
Getting Started with UDT Courses
Frequently Asked Questions
Powered By GitBook
Installation

You can download the latest releases of the Universal Data Tool from the Github Releases page.
Our Windows Desktop application needs contributors! If you run into any issues, or better yet manage to resolve them, send us a contribution!​

If you use Fast.ai or Tensorflow, Pytorch, brat etc. look at the respective guides in the Machine Learning section of these docs.
import universaldatatool as udt
​
ds = udt.Dataset(
interface="image_classification",
image_urls=["https://example.com/image1.png"],
labels=["cat", "dog"]
)
​
ds.to_json() # Outputs .udt.json
​
udt.open() # Opens the Universal Data Tool in Jupyter Notebooks
You can do much more! Check out the Getting Started with Python for more details!

I recommend trying out the web tool before integrating. For many use cases, you can avoid the integration all together just by using the online tool!
Previous
Universal Data Tool Docs
Next
Running On-Premise
Last modified 1yr ago
Copy link
On this page
Usage on Web
Using on Desktop (Windows, Mac, Linux)
Using with Python or Jupyter Notebook
Using with React or Embedded on Webpage