Hi all, how to create image datasets. I need them to train neural networks. I have about 15 to 20 images and I need to turn these images into an image dataset. Please.

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Nurul Farhana Mohd Fadzli 2022-5-16

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评论： yanqi liu 2022-5-20

I have tried to find the way to build image dataset but all of the example are using Python. But i want to use Matlab. Please help me.

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Answer 1

Abhijit Bhattacharjee 2022-5-19

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This is easy to do in MATLAB! You can put all your images into a folder and use the imageDatastore command.

Assuming the folder of images is on the path, here is an example:

imds = imageDatastore("name_of_image_folder");

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Nurul Farhana Mohd Fadzli 2022-5-19

After that what i need to do ? can you show me the example of your matlab interface?

Abhijit Bhattacharjee 2022-5-19

What you do next depends on your application. In your original question, you asked what you need to make a dataset. The code I provided should be sufficient for that.

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Answer 2

yanqi liu 2022-5-20

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yes，sir，may be use cnn transfer to train model，such as

unzip('MerchData.zip');

% use image folder to get dataset

imds = imageDatastore('MerchData','IncludeSubfolders',true,'LabelSource','foldernames');

[imdsTrain,imdsValidation] = splitEachLabel(imds,0.7,'randomized');

% use Alexnet to get cnn model

alex_net = alexnet;

class_number = length(unique(imds.Labels));

alex_net_share = alex_net.Layers(1:end-3);

alex_net_add = [

fullyConnectedLayer(class_number,'Name','fc8','WeightLearnRateFactor',10, 'BiasLearnRateFactor',20)

softmaxLayer('Name','softmax')

classificationLayer('Name','classification')

];

layers_1 = [alex_net_share

alex_net_add];

% train

augimdsTrain = augmentedImageDatastore([227 227],imdsTrain);

augimdsValidation = augmentedImageDatastore([227 227],imdsValidation);

miniBatchSize = 10;

valFrequency = floor(numel(augimdsTrain.Files)/miniBatchSize);

options = trainingOptions('sgdm', ...

'MiniBatchSize',miniBatchSize, ...

'MaxEpochs',5, ...

'InitialLearnRate',3e-4, ...

'Shuffle','every-epoch', ...

'ValidationData',augimdsValidation, ...

'ValidationFrequency',valFrequency, ...

'Verbose',false);

trainedNet = trainNetwork(augimdsTrain,layers_1,options);

% test

[YPred,probs] = classify(trainedNet,augimdsValidation);

accuracy = mean(YPred == imdsValidation.Labels)

accuracy = 1

% app

idx = randperm(numel(imdsValidation.Files),4);

figure

for i = 1:4

subplot(2,2,i)

I = readimage(imdsValidation,idx(i));

imshow(I)

label = YPred(idx(i));

title(string(label) + ", " + num2str(100*max(probs(idx(i),:)),3) + "%");

end

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Nurul Farhana Mohd Fadzli 2022-5-20

So, if i want to use my dataset, then what part do i need to change? Is it the MerchData? I am sorry im still new to Matlab.

yanqi liu 2022-5-20

yes，sir，let us check the folder MerchData，we can find that one subfolder is one class，so if use our data，we can just make a new subfolder， and use name as subfolder name

then put images in it，and run code

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