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Project Overview This project focuses on classifying fish species using an Artificial Neural Network (ANN). The dataset comprises 9,000 images spanning 9 distinct species. The workflow encompasses data preprocessing, model architecture design, training, and comprehensive performance evaluation.

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Busra-Kilic/Image-Classification

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Image Classificatin with ANN

This project aims to classify 9 different seafood species using images collected from a supermarket in Izmir. The dataset was collected as part of a university-industry partnership project between Izmir University of Economics and an industrial organization and published in ASYU in 2020. Although Convolutional Neural Network (CNN) is commonly used for fish species classification, only Artificial Neural Network (ANN) was used in this project.

For more information about the dataset used, click here.

Table of Contents

Importing the necessary libraries for the project
Importing data into a DataFrame
Data Visualizing
Data Preprocessing
Model
Loss and accuracy graphs
Model Evaluation
Confusion matrix
Final Scores

https://www.kaggle.com/code/busrakilic/fish-classification-with-ann?scriptVersionId=203190830

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Project Overview This project focuses on classifying fish species using an Artificial Neural Network (ANN). The dataset comprises 9,000 images spanning 9 distinct species. The workflow encompasses data preprocessing, model architecture design, training, and comprehensive performance evaluation.

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