Update README.md

README.md

@@ -1,8 +1,38 @@
-**MarwaNet** is a custom convolutional neural network (CNN) trained on the CIFAR-10 dataset, developed to test the integration of a custom Dropout operator for the Aidge platform.
+---
+license: cc
+tags:
+  - onnx
+  - image-classification
+  - cifar10
+  - dropout
+  - aidge
+pipeline_tag: image-classification
+datasets:
+  - cifar10
+metrics:
+  - type: accuracy
+    value: 69.96%
+model-index:
+  - name: Custom ResNet-18 with Integrated Dropout
+    results:
+      - task:
+          type: image-classification
+          name: Image Classification
+        dataset:
+          name: CIFAR-10
+          type: cifar10
+        metrics:
+          - type: accuracy
+            value: 69.96%
+---
+
+# MarwaNet (ONNX)
+
+This is a **custom convolutional neural network (CNN)** trained on the **CIFAR-10** dataset, developed to test the integration of a custom Dropout operator for the Aidge platform.
 
 ## Model Details
 
 - **Architecture**: Custom Convolutional Neural Network (CNN)
 - **Trained on**: CIFAR-10 (60,000 32x32 color images in 10 classes)
-- **ONNX opset version**: 11
+- **ONNX opset version**: 15
 - **Conversion tool**: PyTorch → ONNX