classify an image?

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Tathva
Tathva 2023-5-15
编辑： Tathva 2023-7-16
. Thank you. help has been appreciated
  1 个评论
KSSV
KSSV 2023-5-15
Save the net and use it. You need to provide inputs in the way you have trained.

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回答（1 个）

Sandeep
Sandeep 2023-5-22
Hi Tathva,
To use a trained neural network in MATLAB to classify a random image, you can use the classify function when you have your trained network stored in an appropriate variable. Assuming that you have your network stored in variable called net a sample implementation is given below,
% Load the pretrained network
load('network.mat');
% Load a random image to classify
im = imread('my_image.jpg');
% Resize the image to the same size as the training images
im = imresize(im,net.Layers(1).InputSize(1:2));
% Classify the image
label = classify(net,im);
% Display the predicted label
disp([char(label)]);
The image is resized to the same size that was used during training of the neural network. We use the classify function to classify the image, which returns the predicted label for the image.
For more insight about the classify function, refer the following documentation: Classify data using trained deep learning neural network

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