Nuisance - OOFObjs

DOI

This dataset contains the database of Out Of Focus Objects (OOFObjs)—currently mostly droplets and used for droplet sizing in shadowgraphy analysed 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

Data Samples:

Identifier
DOI https://doi.org/10.18419/DARUS-5198
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-5198
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; application/zip; text/markdown
Size 30888; 8349; 11121; 12082967; 682
Version 2.0
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