I got the food-101 dataset and split it into test/training datasets in the same folder arrangement as the dogs/cats dataset. The text in the notebook suggests that I can run the code as is, and it should make the right predictions as is. I let it train for ~10 minutes and it was getting a ~30% accuracy, so it appeared to be “working.”
Then I realized that the vgg python file is downloading some dogs/cats specific things.
How can I remove that dependency and allow for it to retrain and predict on my dataset without using the vgg.h5 weights and the weirdly formatted json file?
If I use the code at the end of the lesson, I think I can train the model that way, but without the JSON file I’ll have no way of actually seeing the results. What can I do here?