Deep Learning Toolbox Model for GoogLeNet Network

作者: MathWorks Deep Learning Toolbox Team
Pretrained GoogLeNet network model for image classification
4.9
(58)
15.2K 次下载
更新时间 2024/12/11
GoogLeNet is a pretrained model that has been trained on a subset of the ImageNet database which is used in the ImageNet Large-Scale Visual Recognition Challenge (ILSVRC). The model is trained on more than a million images, has 144 layers, and can classify images into 1000 object categories (e.g. keyboard, mouse, pencil, and many animals).
Opening the googlenet.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 R2017b and beyond. Use googlenet instead of imagePretrainedNetwork if using a release prior to R2024a.
Usage Example:
% Access the trained model
[net, classes] = imagePretrainedNetwork("googlenet");
% 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 GoogLeNet
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 版本兼容性
创建方式 R2017b
兼容 R2017b 到 R2025a 的版本
平台兼容性
Windows macOS (Apple 芯片) macOS (Intel) Linux
类别
在 Help Center 和 MATLAB Answers 中查找有关 Deep Learning Toolbox 的更多信息

Community Treasure Hunt

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

Start Hunting!