Skip to content

Fruit image classifier made with Keras VGG19 transfer learning and flask.

Notifications You must be signed in to change notification settings

niels-baptist/fruitdetector3000

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Fruitdetector3000

This repo contains a fruit image classifier, made as part of the course Big Data at Thomas More University.

Dependencies

  • Python
  • You can install the other necessary dependencies by running the following command: pip install -r requirements.txt.

How to use it

  • Serve the application with Flask using the following command: python main.py.
  • You can upload images per 1 or in batch using the upload box by dragging them on there or selecting them through the file manager.

Used technologies

About

Fruit image classifier made with Keras VGG19 transfer learning and flask.

Topics

Resources

Stars

Watchers

Forks