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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
Last synced: 7 days ago
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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.
- Host: GitHub
- URL: https://github.com/selcia25/flower-image-classification
- Owner: selcia25
- Created: 2024-01-22T11:05:03.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-02-05T12:25:43.000Z (11 months ago)
- Last Synced: 2024-11-08T22:45:41.864Z (2 months ago)
- Topics: convolutional-neural-networks, flowers-classification, image-classification
- Language: Jupyter Notebook
- Homepage:
- Size: 15.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 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