Update README.md

README.md

@@ -4,4 +4,27 @@ metrics:
 - accuracy
 - f1
 ---
-See https://www.kaggle.com/code/dima806/vehicle-10-types-detection-vit for more details.
+Return a vehicle type probability based on an image.
+
+See https://www.kaggle.com/code/dima806/vehicle-10-types-detection-vit for more details.
+
+```
+Classification report:
+
+              precision    recall  f1-score   support
+
+         SUV     0.8780    0.9000    0.8889        40
+         bus     1.0000    1.0000    1.0000        40
+family sedan     0.8571    0.9000    0.8780        40
+ fire engine     0.8444    0.9500    0.8941        40
+ heavy truck     0.9459    0.8750    0.9091        40
+        jeep     0.9512    0.9750    0.9630        40
+     minibus     0.9500    0.9500    0.9500        40
+  racing car     1.0000    0.9500    0.9744        40
+        taxi     0.9750    0.9750    0.9750        40
+       truck     0.9722    0.8750    0.9211        40
+
+    accuracy                         0.9350       400
+   macro avg     0.9374    0.9350    0.9354       400
+weighted avg     0.9374    0.9350    0.9354       400
+```