Deep Learning Toolbox Model for VGG-16 Network

Pretrained VGG-16 network model for image classification
ダウンロード: 9.3K
更新 2024/3/20
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. Use vgg16 instead of imagePretrainedNetwork if using a release prior to R2024a.
Usage Example:
% Access the trained model
[net, classes] = imagePretrainedNetwork("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
scores = predict(net, single(I));
label = scores2label(scores, classes)
% Show the image and the classification results
figure
imshow(I)
text(10,20,char(label),'Color','white')
MATLAB リリースの互換性
作成: R2017a
R2017a 以降 R2024a 以前と互換性あり
プラットフォームの互換性
Windows macOS (Apple シリコン) macOS (Intel) Linux
カテゴリ
Help Center および MATLAB AnswersDeep Learning Toolbox についてさらに検索

Community Treasure Hunt

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

Start Hunting!