MACHINE LEARNING FOR STONE ARTIFACT IDENTIFICATION: DISTINGUISHING WORKED STONE ARTIFACTS FROM NATURAL CLASTS USING DEEP NEURAL NETWORKS.

Machine learning for stone artifact identification: Distinguishing worked stone artifacts from natural clasts using deep neural networks.

Stone artifacts are often the most abundant class of objects found in archaeological Waterers sites but their consistent identification is limited by the number of experienced analysts available.We report a machine learning based technology for stone artifact identification as part of a solution to the lack of such experts directed at distinguishin

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