AI RESEARCH
Community-aware evaluation and threshold calibration for open-set plankton image recognition
arXiv CS.CV
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ArXi:2605.15835v1 Announce Type: new Automated plankton image recognition is increasingly used in aquatic ecosystem monitoring, but deployed classifiers inevitably encounter unseen taxa and non-target particles. Open-set recognition methods are usually evaluated with sample-level metrics such as AUROC, AUPR, and FPR% unknown-recall operating points, whereas ecological monitoring depends on community-level estimates of taxon abundance and diversity.