Update README.md

README.md

@@ -1,4 +1,17 @@
 # EDSR-SR-DSC (4× Super-Resolution for Wind Data)
+---
+license: mit
+tags:
+  - super-resolution
+  - edsr
+  - weather
+  - wind
+  - super-image
+library_name: super-image
+model_type: edsr
+datasets:
+  - your-dataset-name
+---
 
 This model is a custom-trained version of the Enhanced Deep Super-Resolution (EDSR) model from the [`super-image`](https://github.com/eugenesiow/super-image) library. It is adapted for super-resolution of **2-channel weather data** (e.g., wind u and v components), upscaling coarse-resolution wind fields by a factor of 4×.
 
@@ -7,14 +20,13 @@ This model is a custom-trained version of the Enhanced Deep Super-Resolution (ED
 ## 🧠 Model Architecture
 
 - **Base**: EDSR ([Lim et al. 2017](https://arxiv.org/abs/1707.02921))
-- **Input channels**: 2 (not RGB)
+- **Input channels**: 2 
 - **Output channels**: 2
 - **Feature channels (`n_feats`)**: 64
 - **Residual blocks**: 32
 - **Upsampling**: Enabled
 - **Scale factor**: 4×
 
-Mean-shift normalization layers were removed (`sub_mean`, `add_mean`), as the model was trained on standardized wind data.
 
 ---