Object detection and classification of butterflies using efficient CNN and pre-trained deep convolutional neural networks

• Main Authors: Mattins, R.F., Sarobin, M.V.R., Aziz, A.A., Srivarshan, S.
• Format: Article
• Published: Springer 2023
• Online Access: http://scholars.utp.edu.my/id/eprint/38028/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175376045&doi=10.1007%2fs11042-023-17563-4&partnerID=40&md5=ac1f5d63dc24353c02272c7dc76c5a41

With over 18,000 species, butterflies account for nearly one-quarter of all identified species on the planet. The images of different butterfly species can be utilized to train Deep Convolutional Neural Networks (CNNs) for the automatic detection and classification of butterflies. This work proposes...