File Exchange

image thumbnail

Neural Network Toolbox Model for ResNet-101 Network

Pretrained Resnet-101 network model for image classification

55 Downloads

Updated 14 Mar 2018

ResNet-101 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 347 layers in total, corresponding to a 101 layer residual network, and can classify images into 1000 object categories (e.g. keyboard, mouse, pencil, and many animals).
Opening the resnet101.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 = resnet101();
% 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-101
label = classify(net, I)
% Show the image and the classification results
figure
imshow(I)
text(10,20,char(label),'Color','white')

Comments and Ratings (4)

adel adel

can u help how to install resnet101.mlpkginstall file.
I tried Environment -> Add-ons -> Get Hardware Support Package.
but unable to install the file .
waiting for your reply..

cui

cui (view profile)

nice! I hope in the future also support other types of networks, such as target detection network

adel adel

MATLAB Release Compatibility
Created with R2017b
Compatible with R2017b to R2018a
Platform Compatibility
Windows macOS Linux

MATLAB Online Live Editor Challenge

View the winning live scripts from faculty and students who participated in the recent challenge.

Learn more

Download apps, toolboxes, and other File Exchange content using Add-On Explorer in MATLAB.

» Watch video