create mnist base from my 10 pictures in matlab

main.m
% Load the images from the directory
image_dir = 'path/to/image/directory';
image_files = dir(fullfile(image_dir, '*.jpg'));
num_images = numel(image_files);

% Initialize the MNIST data and label arrays
mnist_data = zeros(28, 28, num_images);
mnist_labels = zeros(num_images, 1);

% Iterate over each image and preprocess it
for i = 1:num_images
    % Read the image
    image = imread(fullfile(image_dir, image_files(i).name));
    
    % Convert the image to grayscale
    image = rgb2gray(image);
    
    % Resize the image to 28x28 pixels
    image = imresize(image, [28 28]);
    
    % Normalize the image pixel values between 0 and 1
    image = double(image) / 255;
    
    % Save the preprocessed image in the MNIST data array
    mnist_data(:,:,i) = image;
    
    % Save the label for the image (0 to 9)
    mnist_labels(i) = rem(i-1, 10);
end

% Save the preprocessed images and labels in MNIST format
mnist_data = permute(mnist_data, [2 1 3]);
mnist_labels = categorical(mnist_labels);
mnist = struct('data', mnist_data, 'labels', mnist_labels);
save('mnist_base.mat', 'mnist');
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