Object detection and classification of butterflies using efficient CNN and pre-trained deep convolutional neural networks
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...
Saved in:
| Main Authors: | , , , |
|---|---|
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|