Flowers Image Classification

In this notebook we process flowers images and build a classifier for 17 classes

Contents

Data understanding

There are 17 classes and each class has 80 images in RGB channels. At first, we create a folder for each class to organize our images.

Feature extraction

Image histogram method
Hu moments method
Haralick method

Data preprocessing

Label encoding
Scaling

Modeling

Random forest classifier

Evaluation

Classification report