Betta fish species classification using light weight deep learning algorithm
Betta fish sellers and breeders often face challenges in accurately identifying Betta fish species due to variations in colors, patterns, and shapes, leading to potential financial losses and deceptive transactions. To address this issue, we developed a mobile application that employs MobileNet, a d...
| 出版年: | International Journal of Advances in Applied Sciences |
|---|---|
| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Intelektual Pustaka Media Utama
2025
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105000373949&doi=10.11591%2fijaas.v14.i1.pp28-38&partnerID=40&md5=0486ab2382f590d8317ddf23001fb05b |