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Deep Learning Toolbox Model for Inception-v3 Network

Pretrained Inception-v3 network model for image classification

44 Downloads

Updated 12 Dec 2018

Inception-v3 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, has 316 layers in total, and can classify images into 1000 object categories (e.g. keyboard, mouse, pencil, and many animals).
Opening the inceptionv3.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 R2017b and beyond.
Usage Example:
% Access the trained model
net = inceptionv3();
% 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 Resnet-50
label = classify(net, I)
% Show the image and the classification results
figure
imshow(I)
text(10,20,char(label),'Color','white')

Comments and Ratings (3)

bryant cao

Ruchir Patel

cui

MATLAB Release Compatibility
Created with R2017b
Compatible with R2017b to R2019a
Platform Compatibility
Windows macOS Linux

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