Datasets from "A new method for the detection of siliceous microfossils on sediment microscope slides using convolutional neural networks". JGR Biogeosciences.

This repository contains the datasets linked to "A new method for the detection of siliceous microfossils on sediment microscope slides using convolutional neural networks" (Journal of Geophysical Research: Biogeosciences, https://doi.org/10.1029/2024JG008047). This includes: The images and annotation* text files (in YOLO format) used for the detection of siliceous microfossils. The models and training results for the trainings presented in the main text and supporting information. *Note that while annotations were attributed to 14 general categories, only twelve of these were used during training (i.e. Pennate, Centric, Silicoflagellate, Centric_debris, Spore, Other_Biomin, Cocco, Silicoflagellate_debris, Undetermined_silica, Chateoceros_Bacteriastrum, Calcispheres, Foraminifer), and all were pooled into a single "Microfossil" category for the purpose of the training.