function [wholeDataTrain, wholeDataTest, labelTrain, labelTest] = dataBaseLoader(categories, materials)

    wholeDataTrain = [];
    wholeDataTest = [];
    labelTrain = [];
    labelTest = [];
    

    for material=materials
        index = 0;
        for cat=categories 
            load(['./rawdata/', num2str(material), '-', num2str(cat)]);
            temp = temp.';
            lab = ones(size(temp,1),1).*index;
            % Cross varidation (train: 80%, test: 20%)
            cv = cvpartition(size(temp,1),'HoldOut',0.2);
            idx = cv.test;
            % Separate to training and test data
            dataTrain = temp(~idx,:);
            dataTest  = temp(idx,:);

            wholeDataTrain = [wholeDataTrain; dataTrain];
            labelTrain = [labelTrain; lab(~idx,:)];
            wholeDataTest = [wholeDataTest; dataTest];
            labelTest = [labelTest; lab(idx,:)];
            index = index+1;
        end
    end

    disp('data Loaded')
end