Introduction
Fish Classifier is a fish image classification application developed in Android Studio as part of our final thesis project.
This mobile application integrates a Convolutional Neural Network (CNN) model, trained by our research team, which utilizes Local Binary Patterns (LBP) for feature extraction to accurately identify fish species. The model achieves a 92.58% accuracy in fish image classification.