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Deep Learning Toolbox Model for VGG-19 Network

Pretrained VGG-19 network model for image classification


Updated 12 Sep 2018

VGG-19 is a pretrained Convolutional Neural Network (CNN) that has been trained on approximately 1.2 million images from the ImageNet Dataset ( by the Visual Geometry Group at University of Oxford (
The model has 19 layers and can classify images into 1000 object categories (e.g. keyboard, mouse, coffee mug, pencil).
Opening the vgg19.mlpkginstall file from your operating system or from within MATLAB will initiate the installation process for the release you have.

This mlpkginstall file is functional for R2017a and beyond.

Usage Example:
% Load the trained model
net = vgg19()

% See details of the architecture

% Read the image to classify
I = imread('peppers.png');

% Adjust size of the image
sz = net.Layers(1).InputSize
I = I(1:sz(1),1:sz(2),1:sz(3));

% Classify the image using VGG-19
label = classify(net, I);

% Show the image and the classification results
text(10, 20, char(label),'Color','white')

Comments and Ratings (9)


Mona (view profile)


helpful and free,thank you


I have a 32bits computer so i couldn't install the 2017 version of MATLAB so what can I do to be able to use any of the pretrained CNN ?
Would you please help me?
This is really urgent ,thank you


zhang (view profile)

FU Jinlong


cui (view profile)



cui (view profile)


I was wondering if there is a way to install this package on the HPC (using command line)? Thanks a heap in advance!

MATLAB Release Compatibility
Created with R2017a
Compatible with R2017a to R2018b
Platform Compatibility
Windows macOS Linux

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