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Clustering Fruits 360 dataset with deep feature extraction

Python 40.54% JavaScript 21.97% HTML 37.49%
clustering deep-feature-extraction recommendation fruit-recognition fruit-360-dataset keras-tensorflow flask-application google-cloud

deep_feature_clustering's Introduction

Deep Feature Clustering

Clustering Fruits 360 dataset with deep feature extraction. For feature extraction we use the code from this link

App architecture

The image below shows the architecture of the fruits clustering app

Below is the screenshot of the app's main landing page.

The user can upload a fruit image and a preview is shown

When the user clicks "Get Prediction" button, the app finds the closest cluster for the image and then shows 5 images that are closest to that cluster's center.

Deployment:

To deploy the app on google cloud:

  • Initialize app engine.
  • Create a new app.
  • Launch the cloud shell and run

git clone https://bitbucket.org/vrbharti1990/ora/src/master/

gcloud app deploy

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