/FlowerClassification_CNN

Convolutional Neural Networks model created to classify flowers into 4 categories

Primary LanguageJupyter NotebookMIT LicenseMIT

made-with-python

Flower Classification using Convolutional Neural Networks

Overview

Convolutional Neural Networks Model is created to classify the flowers dataset into 4 categories

  • Daisy
  • Dandelion
  • Rose
  • Sunflower

Dataset

Data scraping was done and images were downloaded using Fatkun Batch Downloader extension and grouped into respective folders.

Model

         

Performance

                   

Prerequisites

  • Python 3
  • an IDE (preferably Google Colab)
  • Pandas
  • Numpy
  • Matplotlib
  • Seaborn
  • Sklearn
  • Keras
  • Tensorflow
  • OpenCV

All the external dependencies can be installed by using pip install -r requirements.txt

Demo

Please refer to the colab notebook here

Author

  • Rishikesh Sivakumar

ForTheBadge built-with-love by Rishikesh Sivakumar