Has anyone tried to use a Siamese neural network for image classification
at Commons? I don't know if it will be good enough to run in autonomous
mode, but it will probably be a huge help for those that do manual
classification.

Imagine a network providing a list of possible categories, and the user
just ticks off usable categories.

A Siamese network can be learned by using a triplet loss function, where
the anchor and the positive candidate comes from the same category, and the
negative candidate comes from an other category but are otherwise close to
the anchor.

Output from the network is like a fingerprint, and those fingerprints can
be compared to other images with known fingerprints, or against a
generalized fingerprint for a category.

John Erling Blad
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