## Dataset

The USK-Coffee dataset, made available at https://comvis.unsyiah.ac.id/usk-coffee/ is multi class image dataset derived from a coffee bean collection that includes 4 classes: peaberry, longberry, defect, and premium.

## Training

Fast.ai was used to train this classifier with a Timm ConvNext nano vision learner, without heavy customization. The training was performed on the provided `train` split, and validation on the `val` split. 

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

| epoch | train_loss | valid_loss | accuracy |  time |
|-------|------------|------------|----------|-------|
|     0 |   0.238523 |   0.383621 | 0.869375 | 00:25 |
|     1 |   0.257938 |   0.293417 | 0.907500 | 00:25 |
|     2 |   0.205048 |   0.412420 | 0.847500 | 00:25 |
|     3 |   0.170284 |   0.308219 | 0.901875 | 00:25 |
|     4 |   0.154471 |   0.308811 | 0.894375 | 00:26 |
|     5 |   0.107862 |   0.480474 | 0.874375 | 00:26 |
|     6 |   0.075452 |   0.506489 | 0.843125 | 00:26 |
|     7 |   0.060802 |   0.317052 | 0.906875 | 00:26 |
|     8 |   0.049216 |   0.242317 | 0.932500 | 00:26 |
|     9 |   0.040890 |   0.233353 | 0.935625 | 00:26 |


## Examples

The example images provided in the demo are from the `test` split in the dataset, which was never made available to the model in the training process.