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--- |
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license: apache-2.0 |
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metrics: |
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- accuracy |
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- f1 |
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--- |
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Returns fast food type based on an image. |
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See https://www.kaggle.com/code/dima806/fast-food-image-detection-vit for more details. |
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``` |
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Classification report: |
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precision recall f1-score support |
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Burger 0.9466 0.9750 0.9606 400 |
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Taco 0.9578 0.9650 0.9614 400 |
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Baked Potato 0.9827 0.9925 0.9876 400 |
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Hot Dog 0.9872 0.9698 0.9784 397 |
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Pizza 0.9875 0.9875 0.9875 400 |
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Sandwich 0.9724 0.9724 0.9724 399 |
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Fries 0.9748 0.9675 0.9711 400 |
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Donut 0.9827 1.0000 0.9913 397 |
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Crispy Chicken 0.9822 0.9650 0.9735 400 |
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Taquito 0.9923 0.9700 0.9810 400 |
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accuracy 0.9765 3993 |
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macro avg 0.9766 0.9765 0.9765 3993 |
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weighted avg 0.9766 0.9765 0.9765 3993 |
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``` |
