Image Classification Workshop

This material was created for and used in the context of a workshop for 11th graders on AI and Medicine (held in German).

Teachable Machine

As an introduction to image classification, Google's Teachable Machine was used with this dataset with images of cats and dogs. See here for further instructions.

Jupyter Notebook

In a second step, this Jupyter Notebook was used with three datasets to choose from:

1. Cats vs. Dogs (same as above)
2. Brain Tumor Dataset
3. Cardiac Views (Long axis vs. Short axis). This dataset was created from data from the Cardiac Atlas Project

The data should be placed in the following structure

.
└── data/
    ├── braintumor/
    │   ├── test/
    │   │   ├── notumor/
    │   │   │   └── ... (image files)
    │   │   └── tumor/
    │   │       └── ... (image files)
    │   └── train/
    │       ├── notumor/
    │       │   └── ... (image files)
    │       └── tumor/
    │           └── ... (image files)
    ├── cardiacview/
    │   ├── test/
    │   │   ├── lax/
    │   │   │   └── ... (image files)
    │   │   └── sax/
    │   │       └── ... (image files)
    │   └── train/
    │       ├── lax/
    │       │   └── ... (image files)
    │       └── sax/
    │           └── ... (image files)
    └── catsvsdogs/
        ├── test/
        │   ├── cats/
        │   │   └── ... (image files)
        │   └── dogs/
        │       └── ... (image files)
        └── train/
            ├── cats/
            │   └── ... (image files)
            └── dogs/
                └── ... (image files)