Deep learning and taphonomy: high accuracy in the classification of cut marks made on fleshed and defleshed bones using convolutional neural networks
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DOI: 10.1038/s41598-019-55439-6
Abstract: Accurate identification of bone surface modifications (BSM) is crucial for the taphonomic understanding of archaeological and paleontological sites. Critical interpretations of when humans started eating meat and animal fat or when they started using stone… read more here.
Keywords: made fleshed; accuracy; cut marks; marks made ... See more keywords