Deep Learning ToolboxTM Model for DarkNet-19 Network
Pretrained DarkNet-19 network model for image classification
1K téléchargements
Mise à jour
20 mars 2024
DarkNet-19 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 darknet19.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 R2020a and beyond. Use darknet19 instead of imagePretrainedNetwork if using a release prior to R2024a.
Usage Example:
% Access the trained model
[net, classes] = imagePretrainedNetwork("darknet19");
% 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 DarkNet-19
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')
Compatibilité avec les versions de MATLAB
Créé avec
R2020a
Compatible avec les versions R2020a à R2024a
Plateformes compatibles
Windows macOS (Apple Silicon) macOS (Intel) LinuxCatégories
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