QoI - Droplets

DOI

This dataset consists of a database of droplets extracted from high resolution shadowgraphy images in technical sprays. The database is one subclass utilised in the generation of synthetic training dataset via domain randomisation. The resulting dataset is subsequently used for training of DL-based image segmentation models. A more detailed description is provided in the corresponding paper: https://doi.org/10.1016/j.ijmultiphaseflow.2023.104702

Identifier
DOI https://doi.org/10.18419/DARUS-5200
Related Identifier IsSupplementTo https://doi.org/10.1016/j.ijmultiphaseflow.2023.104702
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/DARUS-5200
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 CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Jose, Basil (University of Stuttgart); Hampp, Fabian (University of Stuttgart)
Representation
Resource Type Dataset
Format image/png; text/markdown; application/zip
Size 9435; 11347; 11127; 381; 9374291
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