A modular, reproducible pipeline that tests whether biological images can be grouped by species without training labels. It extracts features using BioCLIP-2 image embeddings, runs multiple unsupervised clustering methods, and evaluates clustering quality using ground-truth species labels.
clustering unsupervised-learning biodiversity foundation-models bioclip2 insects-clustering automated-biodiversity-monitoring
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Updated
Jul 27, 2026 - Python