## Dataset

The Food-101 dataset, originally made available at https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/ is a data set of 101 food categories, with 101'000 images.

## Training

Fast.ai was used to train this classifier with a ResNet50 vision learner, without much customization.

The final fine tuning of the training loop resulted in the following losses.

| epoch	| train_loss	| valid_loss	| error_rate	| time  |
|-------|---------------|---------------|---------------|-------|
| 0	| 1.358123	| 1.100139	| 0.288713	| 05:14 |
| 1	| 1.129988	| 0.985213	| 0.260693	| 05:12 |
| 2	| 0.964907	| 0.909715	| 0.241337	| 05:17 |
| 3	| 0.804738	| 0.843515	| 0.222475	| 05:19 |
| 4	| 0.638846	| 0.795957	| 0.205347	| 05:16 |
| 5	| 0.475434	| 0.750069	| 0.192673	| 05:15 |
| 6	| 0.345060	| 0.742432	| 0.185198	| 05:12 |
| 7	| 0.247938	| 0.728758	| 0.177624	| 05:12 |
| 8	| 0.214708	| 0.727486	| 0.177871	| 05:11 |

## Examples

The example images provided in the demo are not from the dataset. They were quickly sourced via a couple of DuckDuckGo searches.