Data from: Corrigendum to: Deep learning improves taphonomic resolution: high accuracy in differentiating tooth marks made by lions and jaguars

Corrigendum to "Deep learning improves taphonomic resolution: high
accuracy in differentiating tooth marks made by lions and jaguars".
In a previous paper, we presented some convolutional neural network (CNN)
models to classify images of tooth scores made by lions and jaguars
through deep learning computer vision. In that work, we reached an
accuracy of 82% of the testing set correctly classified. However, such an
accuracy is biased, since the original sample was highly unbalanced.
Therefor, now we present the results which correct the problems of the
previously published models by producing more balanced classifications and
also by achieving higher accuracy.