Code for using and training spray segmentation models

DOI

This dataset contains the necessary code for using our spray segmentation model used in the paper, ML-based semantic segmentation for quantitative spray atomization description. See README for more information.

Identifier
DOI https://doi.org/10.18419/DARUS-4739
Related Identifier IsSupplementTo https://doi.org/10.1016/j.ijmultiphaseflow.2025.105179
Related Identifier References https://doi.org/10.48550/arXiv.1901.02446
Related Identifier References https://doi.org/10.48550/arXiv.1802.02611
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/DARUS-4739
Provenance
Creator Jose, Basil ORCID logo; Hampp, Fabian ORCID logo
Publisher DaRUS
Contributor Jose, Basil; Hampp, Fabian
Publication Year 2025
Funding Reference DFG 456687251
Rights MIT License; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/MIT.html
OpenAccess true
Contact Jose, Basil (University of Stuttgart); Hampp, Fabian (University of Stuttgart)
Representation
Resource Type Dataset
Format text/x-python; application/octet-stream; text/markdown
Size 1874; 7003; 7265; 590; 4608; 699; 478077680; 381589206; 2705
Version 1.0
Discipline Chemistry; Construction Engineering and Architecture; Engineering; Engineering Sciences; Fluid Mechanics; Heat Energy Technology, Thermal Machines, Fluid Mechanics; Mechanical and industrial Engineering; Mechanics; Mechanics and Constructive Mechanical Engineering; Natural Sciences; Thermal Engineering/Process Engineering