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

Publication Date
June 23, 2022
Creators
Description
Data and code used to generate deep learning model to generate results in the above paper
External URI
DOI
Subjects (LCSH)

Neural networks (Comp...

Image processing -- D...

Optical data processi...

Subjects

Blender, spatial freq...

Subjects (JACS)

Engineering::Electron...

Subjects (LC)

T Technology::TK Elec...

Divisions
University of Nottingham, UK Campus::Faculty of Engineering::Department of Electrical and Electronic Engineering
Data type
Images generated by Blender software
Funders
Funders
UK Research and Innovation
Grant Number
MR/T041951/1
2268555
Data collection method
Simulated data using Blender
Resource languages
English
Publisher
The University of Nottingham
Date Issued
June 30, 2022
Except where otherwise noted, this item's license is described as
File(s)
Thumbnail Image
Name

Trained Models.zip

Size

1.69 GB

Format

Unknown

Checksum (MD5)

b85891ca403c84ecd00067b797356a32

Thumbnail Image
Name

Datasets.zip

Size

122.09 MB

Format

Unknown

Checksum (MD5)

ef6b6cd4ef1817bfb84949e4b4bd8b41