---
license: apache-2.0
language:
- en
tags:
- physics
- schlieren
- shadowgraph
- flow visualization
---
## Dataset Description
The dataset contains shadowgraph images of different high-speed flows taken by the high-speed camera. The dataset is prepared for the YOLO model. There are 4 classes of objects: shock waves, bow shocks, plumes, particles in the flow and background.

### Languages

english 

### Citation Information

If you use the dataset, please provide a reference to one of our papers:

I. A. Znamenskaya and I. A. Doroshchenko, "Edge detection and machine learning for automatic flow structures detection and tracking on schlieren and shadowgraph images," Journal of Flow Visualization and Image Processing, vol. 28, no. 4, pp. 1-26, 2021, doi: 10.1615/JFlowVisImageProc.2021037690.

I. A. Znamenskaya, I. A. Doroshchenko, N. N. Sysoev and D. I. Tatarenkova.  “Results of Quantitative Analysis of High-Speed Shadowgraphy of Shock Tube Flows Using Machine Vision and Machine Learning,” Doklady Physics. 66, 93—96, (2021), doi: 10.1134/S1028335821040066.

### Acknowledgements

This study was supported by the Russian Science Foundation (Grant No. 22-79-00054)

### Licensing Information
The dataset is released under Apache 2.0.

---
license: apache-2.0
---