---
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