A comparison of machine learning techniques for taxonomic classification of teeth from the Family Bovidae
A comparison of machine learning techniques for taxonomic classification of teeth from the Family Bovidae
This study explores the performance of machine learning algorithms on the classification of fossil teeth in the Family Bovidae. Isolated bovid teeth are typically the most common fossils found in southern Africa and they often constitute the basis for paleoenvironmental reconstructions. Taxonomic identification of fossil bovid teeth, however, is often …