josepmariall / computervision_flower_classification_vgg

Using Transfer Learning to have top notch cnn model to solve my problem

Flower classification using Transfer Learning

The goal of this project is to create an algorithm to classify 5 types of flowers.

About the project

Dataset to be trained contains 3670 images, that shall be used for training and testing the model.

Transfer learning is a technique that allows the use of some state-of-the-art CNN classifiers such as VGG, to create our own model.

In this study, I have used VGG, a model created with over 10 thousand images as features abstractor for the classification.

In this project we shall find, besides the datasets, the following documents:

1. Data Visualization & Preparation
2. Model – Transfer Learning VGG

Code of ethics

This project has been undertaken complying with a code of ethics

Install

I provide the environment used to run this code.

Acknowledgments

This project is done thanks to what I learnt at Udacity

License

This project is under Copyright © 2019 Josep Maria Niubo. It is free software, and may be redistributed under the terms specified in the LICENSE file