---
datasets:
- ILSVRC/imagenet-1k
metrics:
- accuracy
pipeline_tag: image-classification
tags:
- arxiv:1704.04861
---

# MobileNet v1

MobileNet model from ML commons

## 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  |      ❌      |


## ImageNet 224

- Origin: https://github.com/mlcommons/inference/tree/master/vision/classification_and_detection
- Input:
  - size: \[N, 3, 224, 224\]
  - format: NCHW
- Output:
  - size: [N, 1001]  
- ONNX:
	- opset: 11
	- Operators: 122 (11 types)
		- AvgPooling2D: 1
		- Clip: 27
		- Conv2D: 14
		- PaddedConv2D: 1
		- PaddedConvDepthWise2D: 13
		- Producer: 59
		- Reshape: 2
		- Shape: 1
		- Softmax: 1
		- Squeeze: 1
		- Cast: 2