The Importance of Fit-for-Purpose Evaluation for Computer Vision in Archaeology: A Case Study in Extracting Geospatial Data from Legacy Archaeological Maps
The lesson for archaeology is this: standard CV benchmarks alone cannot tell us whether an automated output is fit for archaeological inference, and Archaeology would benefit from discipline-specific fit-for-purpose metrics, like the Gini coefficient, as a regularized part of computer vision studies.