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Running
A newer version of the Gradio SDK is available:
5.5.0
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The Food-101 dataset, originally made available at https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/ is a data set of 101 food categories, with 101'000 images.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.