ResNet-18 is a pretrained model that has been trained on a subset of the ImageNet database. The model is trained on more than a million images, and can classify images into 1000 object categories (e.g. keyboard, mouse, pencil, and many animals).
Opening the resnet18.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 R2018a and beyond.
% Access the trained model
net = resnet18();
% See details of the architecture
% 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 ResNet-18
label = classify(net, I)
% Show the image and the classification results
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
Inspired: Alzheimer’s Disease Detection using 3D ResNet-18 on MRI, Alzheimer’s Disease Detection using multi-modal 3D data, Pre-trained 3D ResNet-18, Alzheimer’s Disease Detection using multi-modal 3D data
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