A neural network that can identify 101 different foods from an image. The "Final Model" section contains model weights for EfficientNetB2 + a classifier block that gives a top-1 accuracy of 73.2% and a top-5 accuracy of 91.2%. The models are all trained on the Food101 dataset.
