Food-Vision

Building Food Vision™, using all of the data from the Food101 dataset and EfficientNetB0 model. The goal is to beat the results of DeepFood**, a 2016 paper which used a Convolutional Neural Network trained for 2-3 days to achieve 77.4% top-1 accuracy.

Confusion Matrix

Accuracy % Loss from tensorboard

Full view at: model's training curves on TensorBoard.dev.

Accuracy:

Loss:

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Final Results