metadata
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. 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