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Deep Learning Toolbox Model for MobileNet-v2 Network

Pretrained MobileNet-v2 model for image classification

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Updated 11 Sep 2019

MobileNetv2 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 mobilenetv2.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.

Usage Example:

% Access the trained model
net = mobilenetv2();

% 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 mobilenetv2
label = classify(net, I)

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

Please visit the documentation page to learn more: https://www.mathworks.com/help/deeplearning/ref/mobilenetv2.html

Comments and Ratings (3)

JIe Chang

cui

MATLAB Release Compatibility
Created with R2019a
Compatible with R2019a to R2019b
Platform Compatibility
Windows macOS Linux