Image Clustering with Keras

Introduction

The requirement of self-labeled image data became obvious, when I was researching a project for my masterthesis.

I was looking for a way to automatically sort images by their content and found a project from Gabo Flomo on towardsdatascience.com (2020), in which flower-images are clustered by similarity.

In this R learning project the python code from Gabo Flomo is used as blueprint. It is translated to R and incorporated to a Data Science Life Cycle.

Datasets

The images can be found here:

• Weapons in Images on kaggle.com
• Flower Color Images on kaggle.com

To execute the code on a locally run shiny web app the data shall be copied in folders "flowers" and "weapons" of the Rproject folder. From the dataset-downloads the sub folders flower_images and Weapons-in-Images are required.

Deployment

The final clusters where deployed on shinyapps.io.
Link to my App on Shinyapps.io