Articles | Volume 45, issue 1
https://doi.org/10.5194/jm-45-95-2026
https://doi.org/10.5194/jm-45-95-2026
Research article
 | 
26 Jan 2026
Research article |  | 26 Jan 2026

Automated identification of fossil benthic foraminifera from the Peruvian margin using convolutional neural networks

Sikandar Hayat, Meryem Mojtahid, Mary Elliot, Jorge Cardich, Emmanuelle Geslin, Thibault de Garidel-Thoron, Matthieu Carré, and Christine Barras

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Short summary
We studied how artificial intelligence can speed up the study of tiny ocean organisms called benthic foraminifera, whose shells help scientists understand past ocean changes. Normally, identifying and counting them under a microscope takes a lot of time and skill. Here, we compared automated image analysis and human counting for 31 samples. The automated method showed promising results for faster and reliable research.
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