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https://github.com/selcia25/flower-image-classification

🌷This project implements a Convolutional Neural Network (CNN) for classifying flower images into categories such as tulip, sunflower, roses, dandelions, and daisy.
https://github.com/selcia25/flower-image-classification

convolutional-neural-networks flowers-classification image-classification

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🌷This project implements a Convolutional Neural Network (CNN) for classifying flower images into categories such as tulip, sunflower, roses, dandelions, and daisy.

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# Flower Image Classification Project

## Overview
This project utilizes Convolutional Neural Networks (CNN) for the classification of flower images into categories, including tulip, sunflower, roses, dandelions, and daisy.

## Project Highlights
- **Technology Stack:**
- Implemented using Python and TensorFlow/Keras.
- Leveraged CNN architecture for effective image classification.

- **Dataset:**
- Used a diverse dataset containing images of tulips, sunflowers, roses, dandelions, and daisies.

- **Model Training:**
- Trained the model on a specified architecture to achieve accurate flower classification.
- Achieved competitive results in terms of accuracy and performance.

- **Usage:**
- Easily deployable for image classification tasks.
- Instructions provided for training the model on your dataset.

## Getting Started
1. Clone the repository:
- git clone https://github.com/selcia25/flower-image-classification.git
- cd flower-image-classification