Performance of computer vision algorithms for fine-grained classification using crowdsourced insect images

arXiv:2404.03474v1 Announce Type: new
Abstract: With fine-grained classification, we identify unique characteristics to distinguish among classes of the same super-class. We are focusing on species recognition in Insecta, as they are critical for biodiversity monitoring and at the base of many ecosystems. With citizen science campaigns, billions of images are collected in the wild. Once these are labelled, experts can use them to create distribution maps. However, the labelling process is time-consuming, which is where computer vision comes in. The …

abstract algorithms arxiv biodiversity campaigns citizen science class classification computer computer vision cs.ai cs.cv ecosystems fine-grained identify images monitoring performance recognition science species type vision