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dc.contributor.authorDurmaz, Ali Riza-
dc.contributor.authorPotu, Sai Teja-
dc.contributor.authorNützel, Ralf-
dc.contributor.authorRomich, Daniel-
dc.date.accessioned2023-05-22T13:40:45Z-
dc.date.available2023-05-22T13:40:45Z-
dc.date.issued2023-
dc.identifier.urihttps://fordatis.fraunhofer.de/handle/fordatis/321-
dc.identifier.urihttp://dx.doi.org/10.24406/fordatis/258-
dc.description.abstractThe dataset accompanies the publication "Microstructure quality control of steels using deep learning" and contains images used for a round-robin test where multiple metallographers rated images with respect to the present microstructure and grain size.en
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/en
dc.subjectMetallographyen
dc.subjectLight microscopyen
dc.subjectSteelen
dc.subjectBainiteen
dc.subjectMartensiteen
dc.subjectImage dataen
dc.subject.ddcDDC::600 Technik, Medizin, angewandte Wissenschaften::620 Ingenieurwissenschaftenen
dc.titleGrain size classification round-robin dataseten
dc.typeImageen
dc.title.translatedKorngrößenklassifizierung Ringversuch Datensatzde
fordatis.instituteIWM Fraunhofer-Institut für Werkstoffmechaniken
fordatis.rawdatafalseen
Appears in Collections:Fraunhofer-Institut für Werkstoffmechanik IWM

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