VGG-19
VGG-19 is a deep convolutional network for classification.
**Object categories for classification**
[Class ID][3]
**Paper**
[Very Deep Convolutional Networks for Large-Scale Image Recognition][1]
**Dataset**
[ILSVRC2014][2]
**Source**
Caffe2 VGG-19 ==> ONNX VGG-19
**Model input and output**
**Input**
* data_0: float[1, 3, 224, 224]
**Output**
* prob_1: float[1, 1000]
**Pre-processing steps**
**Post-processing steps**
**Sample test data**
Randomly generated sampe test data:
* test_data_0.npz
* test_data_1.npz
* test_data_2.npz
* test_data_set_0
* test_data_set_1
* test_data_set_2
**Model size: 575 MB**
**License**
[MIT][4]
[1]: https://arxiv.org/abs/1409.1556
[2]: http://www.image-net.org/challenges/LSVRC/2014/
[3]:https://contentmamluswest001.blob.core.windows.net/content/14b2744cf8d6418c87ffddc3f3127242/9502630827244d60a1214f250e3bbca7/a9e5d0a0c90c4cc7bb5941554b93668e/synsets.txt
[4]:https://github.com/onnx/models/blob/master/LICENSE
