Deep Learning ToolboxTM Model for EfficientNet-b0 Network

Pretrained EfficientNet-b0 model for image classification
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Actualizado 13 Dec 2023

EfficientNet-b0 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 efficientnetb0.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 R2020b and beyond.

Usage Example:

% Access the trained model
net = efficientnetb0();

% 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-53
label = classify(net, I)

% Show the image and the classification results
figure
imshow(I)
text(10,20,char(label),'Color','white')

Compatibilidad con la versión de MATLAB
Se creó con R2020b
Compatible con cualquier versión desde R2020b hasta R2024a
Compatibilidad con las plataformas
Windows macOS (Apple Silicon) macOS (Intel) Linux
Categorías
Más información sobre Deep Learning Toolbox en Help Center y MATLAB Answers.

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