This dataverse hosts the code, data and models needed for replication of the work mentioned in Jose et al. PROCI 2026.
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Background - Signal-free OH-PLIF patches
May 13, 2026 - DL Image Segmentation Database
Jose, Basil; Greenblatt, Daniel; Lindstedt, Rune Peter; Hampp, Fabian, 2026, "Background - Signal-free OH-PLIF patches", https://doi.org/10.18419/DARUS-5962, DaRUS, V1
This dataset contains a curated database of signal-free background patches extracted from OH-PLIF measurements. These patches correspond to reactant-side image regions without OH signal and are retained to preserve the original experimental background characteristics of the measurement system. The database is utilised in the generation of synthetic...
QoI - OH structures
May 13, 2026 - DL Image Segmentation Database
Jose, Basil; Greenblatt, Daniel; Lindstedt, Rune Peter; Hampp, Fabian, 2026, "QoI - OH structures", https://doi.org/10.18419/DARUS-5961, DaRUS, V1
This dataset contains a curated database of OH structures extracted from OH-PLIF measurements. The database is utilised for the generation of synthetic, automatically annotated training data via physics-informed domain randomisation. The resulting synthetic dataset is subsequently used for training of DL-based semantic segmentation models for trans...
Code, Data and Models for “Transferable DL for in-situ validated LIF segmentation”
May 13, 2026
Jose, Basil; Greenblatt, Daniel; Lindstedt, Rune Peter; Breicher, Adrian; Geyer, Dirk; Lammel, Oliver; Hampp, Fabian, 2026, "Code, Data and Models for “Transferable DL for in-situ validated LIF segmentation”", https://doi.org/10.18419/DARUS-5960, DaRUS, V1
This dataset provides the code, trained models, and supporting data needed to reproduce the work presented in Jose et al. 2026 on transferable deep-learning-based OH-LIF segmentation. The study trains a segmentation model on synthetically generated, auto-labelled OH-LIF images derived from a single source flame and validates its drop-in transferabi...
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