PlantSAM: An object detection‐driven segmentation pipeline for herbarium specimens
Abstract Premise Deep learning–based classification of herbarium images is hampered by background heterogeneity, which introduces noise and artifacts that can potentially mislead models and degrade their accuracy. Addressing these effects is essential to enhance overall performance. Methods We intro...
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| Hauptverfasser: | , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Wiley
2025-11-01
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| Schriftenreihe: | Applications in Plant Sciences |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1002/aps3.70034 |
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