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---
license: cc-by-4.0
metrics:
- accuracy
pipeline_tag: image-classification
tags:
- arXiv:1409.1556
datasets:
- ILSVRC/imagenet-1k
---
# VGG16
VGG16 model from ONNX Model Zoo
## 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 | Tested in CI |
| :---------: | :----------: | :-----: |
| ONNX import | ✔ | ✔ |
| Backend CPU | ✔ | ✔ |
| Export CPP | ✔ | ❌ |
## ImageNet 224
- Origin: https://github.com/onnx/models/tree/main/validated/vision/classification/vgg
- Input:
- size: \[N, 3, 224, 224\]
- format: NCHW
- Output:
- size: [1000]
- ONNX:
- opset: 18
- Operators: 38 (7 types)
- FC: 1
- Flatten: 1
- GlobalAveragePooling : 1
- ReLU : 15
- Conv2D : 2
- MaxPooling2D : 5
- PaddedConv2D : 13 |