Dataset in support of the journal paper 'Predictive Visualisation of Fibre Laser Cutting Topography via Deep Learning with Image Inpainting'
Dataset in support of the journal paper 'Predictive Visualisation of Fibre Laser Cutting Topography via Deep Learning with Image Inpainting'
This dataset contains: A method figure, examples images for experimental and predicted topography sections, as well as examples for a topography inpainting visualisation cGAN. There is also a demonstration of the application of inpainting to increae the size of experimental topographies, as well as using inpainting to predict the appearance of defects between different cutting speeds. There is also a regression plot comparing experimental and predicted labels for a CNN and a collection of histograms and plots comparing the statistical distributions of experimental and inpainted topographic sections, with their respective numerical datasets.
University of Southampton
Courtier, Alexander
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Praeger, Matthew
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Grant-Jacob, James
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Codemard, Christophe A.
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Harrison, Paul
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Mills, Benjamin
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Zervas, Michalis N.
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Courtier, Alexander
0a50732a-ef3f-4042-82f4-9b573c8c9ee8
Praeger, Matthew
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Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Codemard, Christophe A.
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Harrison, Paul
992a7c06-5d61-4591-8455-f6530d5faa6c
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0
Zervas, Michalis N.
26d5ccd0-3c9e-45fa-93c4-08366b2dcd85
Courtier, Alexander and Harrison, Paul
(2022)
Dataset in support of the journal paper 'Predictive Visualisation of Fibre Laser Cutting Topography via Deep Learning with Image Inpainting'.
University of Southampton
doi:10.5258/SOTON/D2489
[Dataset]
Abstract
This dataset contains: A method figure, examples images for experimental and predicted topography sections, as well as examples for a topography inpainting visualisation cGAN. There is also a demonstration of the application of inpainting to increae the size of experimental topographies, as well as using inpainting to predict the appearance of defects between different cutting speeds. There is also a regression plot comparing experimental and predicted labels for a CNN and a collection of histograms and plots comparing the statistical distributions of experimental and inpainted topographic sections, with their respective numerical datasets.
Text
Read_Me.txt
- Dataset
Archive
Datasets.zip
- Dataset
Archive
Figures.zip
- Dataset
Text
Pix2Pix_repository.txt
- Interactive resource
More information
Published date: 17 December 2022
Identifiers
Local EPrints ID: 478051
URI: http://eprints.soton.ac.uk/id/eprint/478051
PURE UUID: 63c889d9-61fb-4570-8c7d-27d72d53b0c0
Catalogue record
Date deposited: 21 Jun 2023 16:39
Last modified: 06 Jun 2024 02:07
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Contributors
Creator:
Alexander Courtier
Contributor:
Matthew Praeger
Contributor:
James Grant-Jacob
Contributor:
Christophe A. Codemard
Creator:
Paul Harrison
Contributor:
Benjamin Mills
Contributor:
Michalis N. Zervas
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