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
      • Fast.ai Image Classification
      • Fast.ai Image Segmentation
  • 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
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  • Usage on Web
  • Using on Desktop (Windows, Mac, Linux)
  • Using with Python or Jupyter Notebook
  • Using with React or Embedded on Webpage

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Installation

Usage on Web

Just go to universaldatatool.com/app!

Using on Desktop (Windows, Mac, Linux)

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!

Using with Python or Jupyter Notebook

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!

Using with React or Embedded on Webpage

Check out the guide for Getting Started with React or Integrate the Javascript Library.

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!

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Last updated 4 years ago

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