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Found 2 papers, 2 papers with code
Instance Segmentation of Microscopic Foraminifera
The model achieves a (COCO-style) average precision of $0. 78 \pm 0. 00$ on the classification and detection task, and $0. 80 \pm 0. 00$ on the segmentation task.
Towards detection and classification of microscopic foraminifera using transfer learning
Foraminifera are single-celled marine organisms, which may have a planktic or benthic lifestyle.
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