metadata
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