Update README.md

README.md

@@ -4,4 +4,31 @@ metrics:
 - accuracy
 - f1
 ---
-See https://www.kaggle.com/code/dima806/14-flowers-image-detection-vit for more details.
+Returns flower type given an image.
+
+See https://www.kaggle.com/code/dima806/14-flowers-image-detection-vit for more details.
+
+```
+Classification report:
+
+                  precision    recall  f1-score   support
+
+            rose     0.9901    0.9524    0.9709       210
+         astilbe     0.9953    1.0000    0.9976       210
+       carnation     0.9670    0.9809    0.9739       209
+           tulip     0.9813    1.0000    0.9906       210
+      water_lily     1.0000    1.0000    1.0000       210
+      bellflower     0.9857    0.9904    0.9881       209
+       coreopsis     0.9904    0.9857    0.9881       210
+    common_daisy     0.9808    0.9714    0.9761       210
+            iris     0.9952    1.0000    0.9976       209
+       dandelion     0.9859    1.0000    0.9929       210
+       sunflower     1.0000    0.9952    0.9976       210
+california_poppy     0.9858    0.9952    0.9905       210
+black_eyed_susan     0.9952    1.0000    0.9976       209
+       calendula     0.9854    0.9665    0.9758       209
+
+        accuracy                         0.9884      2935
+       macro avg     0.9884    0.9884    0.9884      2935
+    weighted avg     0.9884    0.9884    0.9884      2935
+```