classify images from my phone camera in matlab

To classify images from your phone camera in MATLAB, first you need to create a labeled dataset with different classes of images. Then you can train a deep learning model on this dataset using one of the pre-trained models available in MATLAB, such as the AlexNet or GoogLeNet.

Here are the general steps you can follow for classification:

1. Load and preprocess the image from your phone camera using the imread and imresize functions.

main.m
img = imread('image.jpg');
img = imresize(img, [227, 227]);
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2. Load the pre-trained model of your choice and modify it based on your needs.

main.m
net = alexnet;
layers = net.Layers;
layers(end-2) = fullyConnectedLayer(numClasses);
layers(end) = classificationLayer;
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3. Train the modified model using the trainNetwork function and your labeled dataset.

main.m
[net, info] = trainNetwork(imds, layers, opts);
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4. Predict the class of the input image using the classify function.

main.m
label = classify(net, img);
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These are general steps and will need to be modified based on your specific use case.