Automated Microfossil Identification and Segmentation Using a Deep Learning Approach
L. E. Ramos de Carvalho, G. Fauth, S. Baecker Fauth, G. Krahl, A. Camargo Moreira, C. Peres Fernandes, A. von Wangenheim
This paper develops a deep learning method for automated microfossil identification and segmentation, achieving 98% Intersection Over Union accuracy and introduces a publicly available annotated dataset.
bioRxiv · Jun 6, 2019Paleontology