Butterfly Classification using CNN Project

Dataset:https://www.kaggle.com/datasets/phucthaiv02/butterfly-image-classification

Overview

This repository contains code and resources for the Butterfly Classification project, which uses Convolutional Neural Networks (CNN) to classify butterfly species based on their images.

Getting Started

Prerequisites

• Python 3.x
• Tensorflow 2.x
• Keras
• Numpy, Pandas
• Matplotlib, Seaborn (for visualization)

Setup

1. Clone the Repository: git clone <repository_link>

2. Navigate to the Directory: cd path_to_directory

3. Install the Dependencies: pip install -r requirements.txt

4. Setup Dataset Path: Before running any script, make sure to change the dataset path in your_script_name.py:

DATA_PATH = 'path_to_your_dataset'

Model Details
The CNN model implemented in this project uses multiple convolutional layers, followed by pooling layers and dense layers. The output layer uses a softmax function to classify butterfly species.