A simple hotdog/not hotdog classifier built through transfer learning on InceptionV3.
All of the training images were taken from Imagenet (Princeton University and Stanford University).
98-99% accuracy after being trained on 1400 images (1200 hotdog, 200 not hotdog).
In the directory, run python label_image.py hotdog.jpg
(or any other image you would like to test).