A two-stage YOLO + Phi-3.5 pipeline that reads bounding-box labels to identify species and uses RAG to answer ecological questions achieves high F1 on camera-trap images, but no code or data are released.
Advances in image acquisition and processing technologies transforming animal ecological studies,
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Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data
A two-stage YOLO + Phi-3.5 pipeline that reads bounding-box labels to identify species and uses RAG to answer ecological questions achieves high F1 on camera-trap images, but no code or data are released.