Update README.md

README.md

@@ -4,10 +4,64 @@ datasets:
 - uoft-cs/cifar100
 base_model:
 - microsoft/resnet-18
+pipeline_tag: image-classification
+tags:
+- arxiv:1512.03385
 ---
 
-# Resnet18 - Aidge
+# Resnet18
 
 This is an exported version of Resnet18 from Aidge.
 
-The original version trained on Imagenet and the finetuned version on CIFAR100.
+The original version trained on Imagenet and the finetuned version on CIFAR100.
+
+## Aidge support
+
+> Note: We tested this network for the following features. If you encounter any error please open an [issue](https://gitlab.eclipse.org/groups/eclipse/aidge/-/issues). Features not tested in CI may not be functional.
+
+|   Feature   | Tested in CI |
+| :---------: | :----------: |
+| ONNX import |      ✔       |
+| Backend CPU |      ✔       |
+| Export CPP  |      ❌      |
+
+
+## Model
+
+* Operators: 171 (11 types)
+  - Add: 8
+  - BatchNorm2D: 20
+  - Conv2D: 3
+  - FC: 1
+  - Flatten: 1
+  - GlobalAveragePooling: 1
+  - Identity: 3
+  - PaddedConv2D: 17
+  - PaddedMaxPooling2D: 1
+  - Producer: 99
+  - ReLU: 17
+
+## CIFAR100
+
+* Opset: 18
+* Source: PyTorch
+* **Input**
+    * size: [N, 3, 224, 224]
+    * format: [N, C, H, W]
+    * preprocessing:
+      * ?
+* **Output**
+    * size: [N, 100]
+
+
+## ImageNet1k
+
+* Opset: 8
+* Source: ?
+* **Input**
+    * size: [N, 3, 224, 224]
+    * format: [N, C, H, W]
+    * preprocessing:
+      * ?
+* **Output**
+    * size: [N, 1000]