README.md

---
license: apache-2.0
metrics:
- accuracy
- f1
---
Returns fast food type based on an image.

See https://www.kaggle.com/code/dima806/fast-food-image-detection-vit for more details.

```
Classification report:

                precision    recall  f1-score   support

        Burger     0.9466    0.9750    0.9606       400
          Taco     0.9578    0.9650    0.9614       400
  Baked Potato     0.9827    0.9925    0.9876       400
       Hot Dog     0.9872    0.9698    0.9784       397
         Pizza     0.9875    0.9875    0.9875       400
      Sandwich     0.9724    0.9724    0.9724       399
         Fries     0.9748    0.9675    0.9711       400
         Donut     0.9827    1.0000    0.9913       397
Crispy Chicken     0.9822    0.9650    0.9735       400
       Taquito     0.9923    0.9700    0.9810       400

      accuracy                         0.9765      3993
     macro avg     0.9766    0.9765    0.9765      3993
  weighted avg     0.9766    0.9765    0.9765      3993

```