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Deep Learning Toolbox Model for MobileNet-v2 Network

Pretrained MobileNet-v2 model for image classification


Updated 16 Sep 2020

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

% 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

Please visit the documentation page to learn more:

Comments and Ratings (6)

Zahid Farooq Khan

excellent for learning to work with yolo

gaoming Liang

William Weaver

Excellent for transfer learning.

JIe Chang


Redha Almahdi

MATLAB Release Compatibility
Created with R2019a
Compatible with R2019a to R2020b
Platform Compatibility
Windows macOS Linux