https://www.researchgate.net/publicatio ... ltext=true
Abstract.
Ambiguity in the fish naming is present in several fish species database, especially for fish in Siluformes order. To fix the ambiguity, a visual intelligent system is needed to automate the fish naming correction in the database. In this study, we developed a deep-learning-based model as the core of the intelligent system. The proposed model achieved 89% accuracy for the classification of three genera in Siluformes order: , , and .
- Keywords: fish image classification, intelligent system, deep learning, siluformes.