Flowers Image Classification

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

Dataset

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