Summary:
In this project, an image library (http://www.robots.ox.ac.uk/~vgg/data/flowers/102/index.html), consisting of classified images of 102 flower species, is used to train a neural network via PyTorch. The resulting model can classify the species of new flower images.
Technologies used:
- PyTorch
- torchvision
- Jupyter Notebook
- matplotlib
The project is broken down into multiple steps:
- Load and preprocess the image dataset
- Train the image classifier on your dataset
- Use the trained classifier to predict image content
For more extensive documentation, see CH_ImageClassifierProject notebook
Image library should be extracted to a base folder named 'flowers'
Project completed as part of AI Programming with Python coursework udacity.com