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Dataset for the Segmentation of Industrial Burner Flames

Landgraf, Steven 1; Hillemann, Markus ORCID iD icon 1; Ulrich, Markus ORCID iD icon 1; Aberle, Moritz; Jung, Valentin; Großkopf, Julius; Matthes, Jörg 2; Markus, Vogelbacher 2; Patrick, Waibel
1 Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)
2 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

The published dataset contains images and masks related to the research article with the title "Segmentation of Industrial Burner Flames: A Comparative Study from Traditional Image Processing to Machine and Machine and Deep Learning".

The original dataset, which our version of the dataset is based on, can be found here: https://zenodo.org/record/4453599


Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Institut für Photogrammetrie und Fernerkundung (IPF)
Publikationstyp Forschungsdaten
Publikationsdatum 20.06.2023
Erstellungsdatum 15.06.2023
Identifikator DOI: 10.5445/IR/1000159497
KITopen-ID: 1000159497
Lizenz Creative Commons Namensnennung 4.0 International
Schlagwörter Segmentation, Industrial Burner Flames, Image Processing, Machine Learning, Deep Learning
Liesmich

The published dataset contains images and masks related to the research article with the title "Segmentation of Industrial Burner Flames: A Comparative Study from Traditional Image Processing to Machine and Machine and Deep Learning".

The original dataset, which our version of the dataset is based on, can be found here: https://zenodo.org/record/4453599

Art der Forschungsdaten Dataset
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