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 further details and citation, please refer to the submitted paper: B. Jose, K. P. Geigle, F. Hampp, Domain-Randomised Instance-Segmentation Benchmark for Soot in PIV Images, submitted to Machine Learning: Science and Technology (2025)

Data Samples:

Real soot:

Soot from generative models:

Soot from simulations: