| 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 |
| Relationen in KITopen | |
| Rechteinhaber | Großkopf, Julius; Matthes, Jörg; Markus, Vogelbacher; Patrick, Waibel |