Dataset for Training Generative Adversarial Networks for Optical Property Mapping using Synthetic Image Data

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Publication date
2022-06-30
Creators
Gordon, George
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Description
Data and code used to generate deep learning model to generate results in the above paper
External URI
DOI
Subjects
  • Neural networks (Computer science)
  • Image processing -- Digital techniques
  • Optical data processing
  • Blender, spatial frequency domain imaging, generative adversarial network, domain transfer
  • Engineering::Electronic & electrical engineering::Optoelectronic engineering
  • T Technology::TK Electrical engineering. Electronics Nuclear engineering
Divisions
  • University of Nottingham, UK Campus::Faculty of Engineering::Department of Electrical and Electronic Engineering
Research institutes and centres
  • University of Nottingham, UK Campus
Deposit date
2022-06-23
Data type
Images generated by Blender software
Contributors
  • Osman, Ahmed
  • Crowley, Jane
Funders
  • Other
  • UK Research and Innovation
Grant number
  • MR/T041951/1
  • 2268555
Data collection method
Simulated data using Blender
Resource languages
  • en
Publisher
The University of Nottingham
CC-BY
Except where otherwise noted, this item's license is described as Creative Commons by Attribution