Dataset is from Zhao (2023)
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Chetouani, A., et al. (2020). Classification of engraved pottery sherds mixing deep-learning features by compact bilinear pooling. Pattern Recognition Letters, 131, 1–7. https://doi.org/10.1016/j.patrec.2019.12.009
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Horn, C., et al. (2022). Artificial intelligence, 3D documentation, and rock art—Approaching and reflecting on the automation of identification and classification of rock art images. Journal of Archaeological Method and Theory, 29, 188–213. https://doi.org/10.1007/s10816-021-09518-6
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Pawlowicz, L. M., & Downum, C. E. (2021). Applications of deep learning to decorated ceramic typology and classification: A case study using Tusayan White Ware from Northeast Arizona. Journal of Archaeological Science, 130, 105375. https://doi.org/10.1016/j.jas.2021.105375
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Pearson, K. (1901). LIII. On lines and planes of closest fit to systems of points in space. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 2(11), 559–572. https://doi.org/10.1080/14786440109462720
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Simonyan, K., & Zisserman, A. (2015). Very deep convolutional networks for large-scale image recognition. arXiv. https://arxiv.org/abs/1409.1556
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Zhao, X. (2023). From classification to matching: A CNN-based approach for retrieving painted pottery images. Mendeley Data, V1. https://doi.org/10.1016/j.daach.2023.e00269