#
Age Estimation VGG-16
Trained on
IMDB-WIKI Data

Released in 2015 as a pre-trained model for the launch of the IMDB-WIKI dataset by the Computer Vision Lab at ETH Zurich, this model is based on the VGG-16 architecture and is designed to run on cropped images of faces only.

Number of layers: 40 |
Parameter count: 134,674,341 |
Trained size: 540 MB |

## Examples

### Resource retrieval

Get the pre-trained net:

### Basic usage

Guess the age of a person from a photograph:

Obtain the probability distribution over all possible ages:

Plot the probability distribution over possible ages:

The recommended estimator of the age is the mean of the probability mass function:

By default, the mode is used as the estimator:

This net is designed to work with cropped images of faces only. If the photograph is not a facial image, the results may be unexpected:

Crop the photograph:

Guess the age of a person from the cropped image:

### Net information

Inspect the number of parameters of all arrays in the net:

Obtain the total number of parameters:

Obtain the layer type counts:

Display the summary graphic:

### Export to MXNet

Export the net into a format that can be opened in MXNet:

Export also creates a *net.params *file containing parameters:

Get the size of the parameter file:

The size is similar to the byte count of the resource object:

Represent the MXNet net as a graph:

## Requirements

Wolfram Language
11.2
(September 2017)
or above

## Resource History

## Reference