Deep Learning ToolboxTM Model for Places365-GoogLeNet Network

作者: MathWorks Deep Learning Toolbox Team
Pretrained GoogLeNet network trained on Places365 data set for image classification
5.0
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1.2K 次下载
更新时间 2024/9/11
Place365GoogLeNet is a pretrained model that has been trained on the Places365 data set and has the same underlying network architecture as GoogLeNet that was trained on the ImageNet data set.
Opening the place365googlenet.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 R2019a and beyond. Use googlenet [net = googlenet(Weights="places365")] instead of imagePretrainedNetwork if using a release prior to R2024a.
Usage Example:
% Access the trained model
[net, classes] = imagePretrainedNetwork("googlenet-places365");
% See details of the architecture
net.Layers
% Read the image to classify
I = imread('test.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-Places365
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 R2019a
兼容 R2019a 到 R2024b 的版本
平台兼容性
Windows macOS (Apple 芯片) macOS (Intel) Linux
类别
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