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

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Last updated 4 years ago

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Usage on Web

Just go to !

Using on Desktop (Windows, Mac, Linux)

You can download the latest releases of the Universal Data Tool from the .

Our Windows Desktop application needs contributors! If you run into any issues, or better yet manage to resolve them,

Using with Python or Jupyter Notebook

If you use or , , 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

Using with React or Embedded on Webpage

You can do much more! Check out the for more details!

Check out the guide for or .

I recommend trying out the web tool before integrating. For many use cases, you can avoid the integration all together just by !

universaldatatool.com/app
Github Releases page
send us a contribution!
Fast.ai
Tensorflow
Pytorch
Getting Started with Python
Getting Started with React
Integrate the Javascript Library
using the online tool