Nuisance - OOPObjs

<p>
This dataset contains the database of <strong>Out Of Plane Objects (OOPObjs)</strong> extracted from <strong>PIV (Mie scattering)</strong> measurements within an RQL-type combustor.
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<p>
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.
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<p>
For further details and citation, please refer to the submitted paper:<br>
<em>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)</em>
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<h3>Data Samples:</h3>
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<img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/397861" alt="Sample 1" width="30%">
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<img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/397862" alt="Sample 2" width="30%">
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<img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/397860" alt="Sample 3" width="30%">
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