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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Frequently Asked Questions

FAQ for the Universal Data Tool

PreviousGetting Started with UDT Courses

Last updated 4 years ago

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Why are fractional coordinates used instead of pixel coordinates in the Universal Data Tool?

Pixel coordinates can often be helpful for drawing or extraction part of an image. However, fractional coordinates, meaning coordinates in the range [0,1] are used for representing the location on an image in the UDT for the following reasons:

  • It is resilient to image resizing/changes to size in the underlying image source

  • Most images are rescaled prior to being put into a machine learning model, at which point a pixel coordinate transformation would be necessary and cumbersome

  • It better supports "massive" image scenarios, such as maps or microscopic slides, that have variable pixel accuracy

If you need to convert UDT fractional coordinates into pixel coordinates, you can do it quickly with.

udt-to-image-position