File Exchange

image thumbnail

Neural Network Toolbox(TM) Model for ResNet-101 Network

Pretrained Resnet-101 network model for image classification



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
% 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

Comments and Ratings (2)


cui (view profile)

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

adel adel


Adding Image

MATLAB Release
MATLAB 9.3 (R2017b)

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

» Watch video