Replication Data for: "REASSESSING DEEP LEARNING (AND META-LEARNING) COMPUTER VISION AS AN EFFICIENT METHOD TO DETERMINE TAPHONOMIC AGENCY IN BONE SURFACE MODIFICATIONS"

This repository contains the three image datasets and code used for the study of publication of the same title. The study analysed different types of bone surface modifications. Each dataset contains the raw images for each of the three code scripts. To conduct k-fold validation, please create a folder within each dataset (named "k-fold"), where each type of mark resides in a separate folder, and copy the specific class images there.