Recognize fruits! Because, why not?
It's currently using the Fruits-360 dataset
The models I've been trying are doing great validation and training accuracy wise, the fruit 360 dataset is very limited only containing 7 fruits in total, therefore I couldn't test it with fruits that look alike, however it's having a really hard time distinguishing a zucchini from a cucumber (I do too).
/models- All trained models are saved here with some information about them on the title.main.py- Holds the current code for training the modelpredicter.py- Run this to predict results on a given image or generatorFigures_{}.png- Val/Train Loss and Accuracy.
Results from running a model, this is the average accuracy and loss.
