image thumbnail

Deep Learning Toolbox Model for VGG-19 Network

Pretrained VGG-19 network model for image classification

2.7K Downloads

Updated 10 Mar 2021

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')

MATLAB Release Compatibility
Created with R2017a
Compatible with R2017a to R2021a
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!