QoI - Droplets

<p>
This dataset consists of a database of <strong>regular</strong> and <strong>distorted</strong> droplets with droplet clusters extracted from high-resolution <strong>shadowgraphy images</strong> 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.
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<p>
A more detailed description is provided in the corresponding paper:<br>
<a href="https://doi.org/10.1016/j.ijmultiphaseflow.2023.104702">https://doi.org/10.1016/j.ijmultiphaseflow.2023.104702</a>
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<h3>Data Samples</h3>
<p>
Regular droplets:
<img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/399456" alt="Sample 1" width="30%">
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Distorted droplets:
<img src="https://darus.uni-stuttgart.de/api/v1/access/datafile/448791" alt="Sample 2" width="30%">
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