Flask-CIFAR-10
This project consists of taking a trained model, specifically image classification with the cifar-10 dataset, and using it in a Flask application for testing and learning purposes.
The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
you can read more about by clicking here
I followed this tutorial to learn how to create the model
Results
My main goal was to just train the model, export and integrate with a flask application, but I could see that the classification presented problems when using a high resolution images.