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...
保存先:
| 主要な著者: | , , , |
|---|---|
| フォーマット: | 論文 |
| 出版事項: |
Springer
2023
|
| オンライン･アクセス: | 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 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|