shadowgraph
shock_wave_segmentation_on_shadowgraph_imagesDataset for shock waves segmentation on the shadowgraph and schlieren images
Citation
If you use this model, dataset, or accompanying software in your research, please cite one or more of the following publications, selecting those most relevant to your work:
https://doi.org/10.1016/j.actaastro.2025.09.091
https://doi.org/10.26089/NumMet.v24r217
https://doi.org/10.1615/JFlowVisImageProc.2025058234
https://doi.org/10.1016/j.actaastro.2023.11.021… See the full description on the dataset page: https://huggingface.co/datasets/igor3357/shock_wave_segmentation_on_shadowgraph_images.shadowgraph_images
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 the paper:
Doroshchenko I.A. Analysis of the Experimental Flow Shadowgraph Images by… See the full description on the dataset page: https://huggingface.co/datasets/igor3357/shadowgraph_images.euv-tin-droplet-shadowgraphy-synthetic
EUV Tin Droplet Shadowgraphy — Synthetic Training Dataset
Summary
25,000 synthetic shadowgraphy images of tin droplets for
EUV lithography targeting research. Generated entirely from
physics-based simulation with no real training data.
Each image is paired with a JSON label containing:
com_x, com_y — center-of-mass pixel coordinates
regime — deformation state (sphere, mild_pan, mod_pan,
heavy_pan, teardrop, elongated)
oblate, rim, asymmetric, elongate… See the full description on the dataset page: https://huggingface.co/datasets/Sagnikroy/euv-tin-droplet-shadowgraphy-synthetic.