Create README.md

README.md

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+---
+datasets:
+- uoft-cs/cifar10
+pipeline_tag: image-classification
+---
+
+https://github.com/mlcommons/tiny/blob/master/benchmark/training/image_classification/trained_models/pretrainedResnet.tflite
+
+# Resnet8
+
+- Origin: https://github.com/mlcommons/tiny/blob/master/benchmark/training/image_classification/
+
+## Model
+
+- ONNX attributes:
+  - opset : 13
+  - Operators: 45 (10 types)
+    - Add: 3
+    - Conv2D: 2
+    - PaddedConv2D: 7
+    - Producer: 21
+    - ReLU: 7
+    - AveragePooling: 1
+    - Transpose: 1
+    - Reshape: 1
+    - FC: 1
+    - Softmax: 1
+
+## 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 |      ❌       |
+
+## CIFAR10
+- Input:
+  - size: \[N, 3, 32, 32\]
+  - format : NCHW
+- Output
+  - size: [N, 10]