Training Data Set for U-Net Training based on Experimental Measurement using High Speed Camera

Type of the data
datacite.resourceTypeGeneral

Dataset

Total size of the dataset
datacite.size

171407901

Author
dc.contributor.author

Guesmi, Montadhar

Author
dc.contributor.author

Manthey, Johannes

Author
dc.contributor.author

Pani, Souman Kumar

Author
dc.contributor.author

Kupfer, Oliver

Author
dc.contributor.author

Dubbert, Manuel

Author
dc.contributor.author

Unz, Simon

Author
dc.contributor.author

Beckmann, Michael

Upload date
dc.date.accessioned

2026-04-10T06:05:21Z

Publication date
dc.date.available

2026-04-10T06:05:21Z

Data of data creation
dc.date.created

2025-02

Publication date
dc.date.issued

2026-04-10

Abstract of the dataset
dc.description.abstract

Boundary detection using a trained U-Net model. It visualizes the predicted boundaries, with each boundary overlaid on a preprocessed grayscale background.

Public reference to this page
dc.identifier.uri

https://opara.zih.tu-dresden.de/handle/123456789/2182

Public reference to this page
dc.identifier.uri

https://doi.org/10.25532/OPARA-1158

Publisher
dc.publisher

Technische Universität Dresden

Licence
dc.rights

CC0 1.0 Universalen

URI of the licence text
dc.rights.uri

http://creativecommons.org/publicdomain/zero/1.0/

Specification of the discipline(s)
dc.subject.classification

4

Title of the dataset
dc.title

Training Data Set for U-Net Training based on Experimental Measurement using High Speed Camera

Funding Acknowledgement
opara.project.fundingAcknowledgement

The present work was sponsored by the German Federal Ministry of Education and Research (BMBF) within the framework of the project SINEWAVE (project number 03HY123D).

Public project website(s)
opara.project.publicReference

https://github.com/MontaCFD/Open-Source-U-Net-for-complex-Gas-liquid-Flow-Segmentation/

Project title
opara.project.title

Development of U-Net Architecture for the detection of the Gasphase in Gas-Liquid Flow in Plate Heat Exchanger Channels

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