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Research on wood defects classification based on deep learning

Authors

  • Jiaxin Ling

    Northeast Forestry University, P. R. China

  • Yonghua Xie

    Northeast Forestry University, P. R. China

Post Views: 453
Posted in WOOD RESEARCH Volume 67, Number 1, 2022Tagged Deep learning, plate defects, ResNet-v2 derivative model

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Cite This Article

LING, J. & XIE, Y. (2022): Research on wood defects classification based on deep learning. In: Wood Research 67 (1), 147-156 pp., available at: doi.org/10.37763/wr.1336-4561/67.1.147156

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