DSND Term 1 Project: Build an Image Classifier
There should be no necessary libraries to run the code here beyond the Anaconda distribution of Python. The code should run with no issues using Python versions 3.*.
This is a project of Term 1 Udacity Data Science Nanodegree. In this project, I trained an image classifier to recognize different species of flowers.
- Image Classifier Project.ipynb: showcase work related to this project.
- predict.py: contains code that can be called by a command line application to run prediction on a new image.
- train.py: includes codes to train the classifier that can be called by a command line application.
- cat_to_name.json: is provided by Udacity to load in a mapping from category label to category name.
The image classifier trained through tranfer learning was able to reach 88.6% accuracy on the test data.
Credits must be given to Udacity for providing starting code and data for this project. A LICENSE file is also included.