Datasets › GF-PA66 3D XCT (latest)

GF-PA66 3D XCT (latest) (Glass fiber-reinforced polyamide 66 3D X-ray Computed Tomography)

Introduced by João P C Bertoldo et al. in A modular U-Net for automated segmentation of X-ray tomography images in composite materials15 Jul 2021 archive 2025-07-28

Stack of 2D gray images of glass fiber-reinforced polyamide 66 (GF-PA66) 3D X-ray Computed Tomography (XCT) specimen.

Usage: 2D/3D image segmentation Format: HDF5

Libraries to read HDF5 files:

1) silx: https://github.com/silx-kit/silx

2) h5py: https://www.h5py.org

3) pymicro: https://github.com/heprom/pymicro

Trained models to segment this dataset: https://doi.org/10.5281/zenodo.4601560

Please cite us as

@ARTICLE{10.3389/fmats.2021.761229,
    AUTHOR={Bertoldo, João P. C. and Decencière, Etienne and Ryckelynck, David and Proudhon, Henry},
    TITLE={A Modular U-Net for Automated Segmentation of X-Ray Tomography Images in Composite Materials},
    JOURNAL={Frontiers in Materials},
    VOLUME={8},
    YEAR={2021},
    URL={https://www.frontiersin.org/article/10.3389/fmats.2021.761229},
    DOI={10.3389/fmats.2021.761229},
    ISSN={2296-8016},
}

Benchmarks archive 2025-07-28

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Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

License archive 2025-07-28

Creative Commons Attribution Share Alike 4.0 International

Modalities archive 2025-07-28

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Variants archive 2025-07-28

  • GF-PA66 3D XCT (latest)

1 variant name, as the archive lists them.

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