Update README.md

README.md

@@ -1,3 +1,15 @@
+---
+license: apache-2.0
+datasets:
+- tanganke/stanford_cars
+language:
+- en
+metrics:
+- accuracy
+base_model:
+- timm/efficientnetv2_rw_s.ra2_in1k
+pipeline_tag: image-classification
+---
 # 🚗 TwinCar: Fine-Grained Car Classification on Stanford Cars 196 (EfficientNetV2 Edition)
 
 > **TwinCar** is a modern deep learning pipeline for car make/model/year classification, featuring a cutting-edge EfficientNetV2 backbone, advanced data augmentation (Mixup, CutMix), robust metric tracking, rich evaluation visuals, and deep model explainability (Grad-CAM++).  
@@ -244,4 +256,4 @@ with torch.no_grad():
     output = model(input_tensor)
     pred_idx = output.argmax(1).item()
 
-print(f"Predicted class: {class_names[pred_idx]} (index: {pred_idx})")
+print(f"Predicted class: {class_names[pred_idx]} (index: {pred_idx})")