Update README.md

README.md

@@ -14,6 +14,10 @@ tags:
 - Traffic
 ---
 
+# **Road-Subsigns-Classification**  
+
+> **Road-Subsigns-Classification** is an image classification vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for a single-label classification task. It is designed to classify images of road subsigns using the **SiglipForImageClassification** architecture.
+
 ```py
 Classification Report:
                               precision    recall  f1-score   support
@@ -84,14 +88,6 @@ M9z-SAUF-VEHICULES-AUTORISES     0.9253    0.9817    0.9527       164
                 weighted avg     0.9731    0.9732    0.9729      9298
 ```
 
-I've updated the document with the new name **Road-Subsigns-Classification** and the corresponding classification labels. Here is the updated documentation and code:
-
----
-
-# **Road-Subsigns-Classification**  
-
-> **Road-Subsigns-Classification** is an image classification vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for a single-label classification task. It is designed to classify images of road subsigns using the **SiglipForImageClassification** architecture.
-
 The model categorizes road subsigns into 60 classes:  
 - **Class 0:** "M1"  
 - **Class 1:** "M11c1-E"