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> A neural network would likely do reasonably well at sorting other types of decorated pottery, but so-called plainware—ceramics without any visible decoration
by teruakohatu 5y ago
> A neural network would likely do reasonably well at sorting other types of decorated pottery, but so-called plainware—ceramics without any visible decoration or markings—would probably be a bridge too far.
I am think it might well work with microscopy. A 224x224 pixel zoomed out piece of plan white pottery isnt going to have any features worth extracting, but there could be a wealth of features at a ultra high zoom levels.
- wswope 5y agoYeah, your comment made me curious, so I did a bit of digging and it looks like there's been at least one paper published in that domain: https://www.sciencedirect.com/science/article/abs/pii/S0305440314002635 https://www.sciencedirect.com/science/article/abs/pii/S03054.... Would be amazing to see 3D models from photogrammetry added to the mix as well.
- jonnycomputer 5y agoPlain ware would be hard. But it is hard for people too, unless you are doing microscopy. And even then, its hard.