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Deep Learning Toolbox Model for VGG-19 Network

Pretrained VGG-19 network model for image classification

43 Downloads

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 (http://image-net.org/index) by the Visual Geometry Group at University of Oxford (http://www.robots.ox.ac.uk/~vgg/research/very_deep/).
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
net.Layers

% 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
figure;
imshow(I)
text(10, 20, char(label),'Color','white')

Comments and Ratings (9)

Mona

Mona (view profile)

CNN_learning

helpful and free,thank you

ZHEYUAN PU

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

zhang (view profile)

FU Jinlong

cui

cui (view profile)

good

cui

cui (view profile)

非常好,值得学习!

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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