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vgg19-caffe2

Use Case and High-Level Description

This is a Caffe2* version of vgg19 model, designed to perform image classification. This model was converted from Caffe* to Caffe2* format. For details see repository https://github.com/caffe2/models/tree/master/vgg19, paper https://arxiv.org/pdf/1409.1556.pdf.

Example

Specification

Metric Value
Type Classification
GFLOPs 39.3
MParams 143.667
Source framework Caffe2*

Accuracy

Performance

Input

Original mode

Image, name - data, shape - 1,3,224,224, format is B,C,H,W where:

  • B - batch size
  • C - channel
  • H - height
  • W - width

Channel order is BGR. Mean values - [103.939, 116.779, 123.68].

Converted model

Image, name - data, shape - 1,3,224,224, format is B,C,H,W where:

  • B - batch size
  • C - channel
  • H - height
  • W - width

Channel order is BGR.

Output

Original model

Object classifier according to ImageNet classes, name - prob, shape - 1,1000, output data format is B,C where:

  • B - batch size
  • C - predicted probabilities for each class in [0, 1] range

Converted model

Object classifier according to ImageNet classes, name - prob, shape - 1,1000, output data format is B,C where:

  • B - batch size
  • C - predicted probabilities for each class in [0, 1] range

Legal Information

The original model is distributed under the Apache License, Version 2.0. A copy of the license is provided in APACHE-2.0.txt.