Using a pretrained Neural Network.

Hello! I was going to use a pretrained network to detect objects but I am not having any luck, This is the code I am trying to use:

%load detector

net = googlenet;

% Read a test image.
I = imread(imagename);

% Run the detector.
[bboxes,scores,labels] = detect(net,I);

% Annotate detections in the image.
I = insertObjectAnnotation(I,'rectangle',bboxes,cellstr(labels));
figure
imshow(I)

I feel like this should be easy. When I searched for the answer I found how to train it.

Thanks for your help!

[Laura Hann]

What error are you getting?

This example seems to be what you're looking for:

https://www.mathworks.com/help/deeplearning/examples/classify-image-using-googlenet.html

If it's not working you problably don't have the toolbox installed.

[label,scores] = classify(net,I);

figure
imshow(I)
title(string(label) + ", " + num2str(100*scores(classNames == label),3) + "%");