Update README.md

README.md

@@ -4,4 +4,28 @@ metrics:
 - accuracy
 - f1
 ---
-See https://www.kaggle.com/code/dima806/fast-food-image-detection-vit for more details.
+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
+
+```