1 to 5 of 5 Results
Nov 21, 2025 - DL Image Segmentation Database
Jose, Basil; Geigle, Klaus Peter; Hampp, Fabian, 2025, "Background - Tracer particle regions", https://doi.org/10.18419/DARUS-5182, DaRUS, V2
This dataset contains the database of image snippets of PIV tracer particles (i.e. Mie scattering) in the background, extracted from sooting flame measurements within an RQL-type combustor. The database is one subclass utilised in the generation of synthetic training data via domain randomisation. The resulting dataset is subsequently used for trai... |
Nov 21, 2025 - DL Image Segmentation Database
Jose, Basil; Geigle, Klaus Peter; Hampp, Fabian, 2025, "Nuisance - OOPObjs", https://doi.org/10.18419/DARUS-5183, DaRUS, V2
This dataset contains the database of Out Of Plane Objects (OOPObjs) extracted from PIV (Mie scattering) measurements within an RQL-type combustor. The database is one subclass utilised in the generation of synthetic training data via domain randomisation. The resulting dataset is subsequently used for training of DL-based image segmentation models... |
Nov 21, 2025 - DL Image Segmentation Database
Jose, Basil; Geigle, Klaus Peter; Hampp, Fabian, 2025, "QoI - Soot filaments", https://doi.org/10.18419/DARUS-5180, DaRUS, V2
This dataset contains the database of soot filaments extracted from PIV (Mie scattering) measurements, CFD simulations and generative models. The database is one subclass utilised in the generation of synthetic training data via domain randomisation. The resulting dataset is subsequently used for training of DL-based image segmentation models. For... |
Nov 21, 2025 - DL Image Segmentation Database
Jose, Basil; Geigle, Klaus Peter; Hampp, Fabian, 2025, "QoI - Tracer particles", https://doi.org/10.18419/DARUS-5181, DaRUS, V2
This dataset contains the database of image snippets of dense clusters of PIV tracer particles (i.e. Mie scattering) marking the reactants within sooting flame measurements in an RQL-type combustor. The database is one subclass utilised in the generation of synthetic training data via domain randomisation. The resulting dataset is subsequently used... |
Oct 31, 2025
Jose, Basil; Geigle, Klaus Peter; Hampp, Fabian, 2025, "Code for training and using the soot (instance) segmentation models", https://doi.org/10.18419/DARUS-5184, DaRUS, V2
This dataset contains the necessary code for using our soot (instance) segmentation model used for segmenting soot filaments from PIV (Mie scattering) images. In the corresponding paper, an ablation study is conducted to delineate the effects of domain randomisation parameters of synthetically generated training data on the segmentation accuracy. T... |
