Daiscover: Flower Identification

A machine learning based iOS app that allows you to identify flowers from your camera.
Available for free on Apple App Store
Source code available on GitHub

Created with CreateML

Source code for my iOS app that uses a deep learning image classifier to classify over 103 different species of flowers. Trained on a self augmented version of the VGG Flower dataset.

Dataset

To create the datset for training with Apple's CreateML, I used the large VGG Flower dataset (found here http://www.robots.ox.ac.uk/~vgg/data/flowers/102/index.html) along with around 100-200 suplemental images dowloaded from Google for each of the categories.

Models

This project uses a "FlowerOrNot" classify to first see if a photo has a flower in it, then performs flower classification on the "FlowerClassifier" model.

Acknowledgements

Google images download (https://github.com/hardikvasa/google-images-download)
VGG Flower Dataset (http://www.robots.ox.ac.uk/~vgg/data/flowers/102/index.html)