Deep Learning Toolbox Model for VGG-16 Network

Pretrained VGG-16 network model for image classification

8.7K descargas

Actualizado 13 Sep 2023

VGG-16 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 16 layers and can classify images into 1000 object categories (e.g. keyboard, mouse, coffee mug, pencil).
Opening the vgg16.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 = vgg16()

% 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-16
label = classify(net, I);

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

Compatibilidad con la versión de MATLAB
Se creó con R2017a
Compatible con cualquier versión desde R2017a hasta R2023b
Compatibilidad con las plataformas
Windows macOS (Apple silicon) macOS (Intel) Linux
Categorías
Más información sobre Deep Learning Toolbox en Help Center y MATLAB Answers.

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