five

Deep learning accurately identifies fjord benthic foraminifera

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Zenodo2025-12-12 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.17608881
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This dataset includes images (n=3,003) and associated annotations for benthic foraminifera (22,138 individuals) from four Skagerrak fjords (Swedish west coast). Annotations were collected using the Roboflow platform (https://roboflow.com/) and are provided in both YOLOv7-PyTorch and COCO format. These data were used to train a YOLOv7 deep learning segmentation model which is able to identify 29 species of fjord benthic foraminifera with 90.3% mAP (mean average precision).
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Zenodo
创建时间:
2025-11-28
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