metadata
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. 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