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1 to 10 of 14 Results
Background - Tracer particle regions
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...
Nuisance - OOFObjs
Nov 21, 2025 - DL Image Segmentation Database
Jose, Basil; Hampp, Fabian, 2025, "Nuisance - OOFObjs", https://doi.org/10.18419/DARUS-5198, DaRUS, V2
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 segmenta...
Nuisance - OOPObjs
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...
QoI - Droplets
Nov 21, 2025 - DL Image Segmentation Database
Jose, Basil; Hampp, Fabian, 2025, "QoI - Droplets", https://doi.org/10.18419/DARUS-5200, DaRUS, V2
This dataset consists of a database of regular and distorted droplets with droplet clusters extracted from high-resolution shadowgraphy images in technical sprays. It serves as a subclass for generating synthetic training data via domain randomisation, which is subsequently used to train Deep Learning (DL) based image segmentation models. A more de...
QoI - Soot filaments
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...
QoI - Tracer particles
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...
Jose et al. MLST 2025 - Code, Data and Models
Nov 20, 2025 - Jose et al. MLST 2025 Soot detection
Jose, Basil; Geigle, Klaus Peter; Hampp, Fabian, 2025, "Jose et al. MLST 2025 - Code, Data and Models", https://doi.org/10.18419/DARUS-5512, DaRUS, V1
This dataset hosts the code, data and models needed for replication of the work mentioned in Jose et al. MLST 2025. In the paper, an ablation study is conducted to delineate the effects of domain randomisation parameters of synthetically generated training data on the segmentation accuracy. The best model is used to extract high-level statistics fr...
Code for training and using the soot (instance) segmentation models
Oct 31, 2025 - Soot segmentation
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...
Jose et al. MLST 2025 Soot detection(Universität Stuttgart)
Oct 30, 2025
This dataverse hosts the code, data and models needed for replication of the work mentioned in Jose et al. MLST 2025.
DL Image Segmentation Database(Universität Stuttgart)
Aug 1, 2025
This dataverse hosts databases for QoI, Nuisance, backgrounds used for domain randomised automatic training data generation for DL models
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