Replication Data for: Deep learning and taphonomy: high accuracy in the classification of cut marks made on fleshed and defleshed bones using convolutional neural networks

This Dataset contains all the images used for the three different experiments referenced in this paper, aswell as the code used to run the AI algorithms. In all three cases, images are labeled in order to classify them in one of the groups that are the matter of the present study, that is, cut marks done with or without meat. For that matter, images labeled as NM refer to cut marks done without any meat (No-Meat); and images labeled as WM refer to cut marks done during butchery (With-Meat). The type of cut mark of each experiment are referred in the paper. The code is presented in .ipynb format, accesible throught JupiterNotebook app. The code is also presented as used in the experiments.