“…Supervised machine learning methods have previously been used to automate species identification for several microscopic taxa, including coccoliths (Beaufort & Dollfus, ), pollen grains (Gonçalves et al, ; Rodriguez‐Damian et al, ), phytoplankton (Sosik & Olson, ), hymenopterans (Rodner et al, ), diatoms (Urbánková et al, ), and dipterans and coleopterans (Valan et al, ). However, these techniques have only been applied in a limited way (i.e., few species, low sampling, limited image variability, and scope) to modern planktonic foraminifera (Macleod et al, ; Mitra et al, ; Ranaweera et al, ; Zhong et al, ), preventing their use as a general tool in this field. Computer vision provides a way to not only automate a task that relatively few researchers are trained to do (i.e., identify all species in a sample) but to also ensure a level of consistency and, at times, accuracy that can be difficult to achieve with human classifiers due to subjectivity and/or bias.…”