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Image processing and classification using random forest classifier

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Mehrab-Kalantari/Flowers-Image-Classification

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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

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