Simon Walther

Deep learning-based hierarchical insect classification using camera trap imagery

This paper presents a manually curated, long-tailed dataset of around one million images of insects, extracted from 1,801 camera-trap video recordings and annotated with a five-level, 34-class hierarchy, and adjusts a hierarchical classification model architecture to a five-level variable-depth hierarchy, with class-ba...