This is a simple image classification project created for Udacity's nanodegree program. It aims to accurately predict which of 102 different flower species an image is picturing. Data comes from the Oxford102 dataset.
The main project is found within the 'Project_Image_Classifier.ipynb' Jupyter Notebooks file. It trains a deep learning network and uses it to predict on new flower images.
The 'predict.py' file takes an image, a model, and a label_map as input and returns what label the model gives the image. Use the file's '--help' functionality for more info.