PlantSAM, a pipeline that uses YOLOv10 bounding boxes to prompt SAM2, segments plants from herbarium backgrounds with IoU 0.94 and improves trait classification accuracy by up to 4.36%.
Enhancing plant morphological trait identification in herbarium collections through deep learning–based segmentation.Applications in Plant Sciences, 13(2):e70000, 2025
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PlantSAM: An Object Detection-Driven Segmentation Pipeline for Herbarium Specimens
PlantSAM, a pipeline that uses YOLOv10 bounding boxes to prompt SAM2, segments plants from herbarium backgrounds with IoU 0.94 and improves trait classification accuracy by up to 4.36%.