Hi, How do i put a bounding box around my detected object using googlenet?

I am trying to put a bounding box and the confidence score of my object. Here is my code:

        clear
        net = googlenet;   % Load the neural net
        net.Layers

        % while true   
            labelType ='' 
            [file,path]=uigetfile({'*.jpg;*.jpeg;*.bmp;*.png;*.tif'},'Choose an image');
            s=[path,file];
            I=imread(s);
        %     I = imread('car1.jpeg');
            sz = net.Layers(1).InputSize ;
            inputSize = net.Layers(1).InputSize
            size(I)
            I = imresize(I,inputSize(1:2));
            figure
            imshow(I)
            movegui(imshow(I),[500,490]);
    %         [label, score] = classify(net, I);        % Classify the picture
            label = classify(net, I);        % Classify the picture
             if (label == 'convertible')
                  labelType = 'Vehicle Recognised'
             elseif (label == 'moped')
                  labelType = 'Vehicle Recognised'
             elseif (label == 'tank')
                  labelType = 'Vehicle Recognised'
             elseif (label == 'sports car')
                  labelType = 'Vehicle Recognised'
             elseif (label == 'moving van')
                  labelType = 'Vehicle Recognised'
             elseif (label == 'trailer truck')
                  labelType = 'Vehicle Recognised'          
             elseif (label == 'garbage truck')
                  labelType = 'Vehicle Recognised'
             elseif (label == 'trailer truck')
                  labelType = 'Vehicle Recognised'
             elseif (label == 'minivan')
                   labelType = 'Vehicle Recognised'
             elseif (label == 'beach wagon')
                   labelType = 'Vehicle Recognised'
             elseif (label == 'ambulance')
                   labelType = 'Vehicle Recognised'
             elseif (label =='cab')
                 labelType = 'Vehicle recognised';
             else
                   labelType = 'No Vehicle Recognised'
             end           

    %         imshow(I);     % Show the picture
            message = strcat(labelType,'-', char(label)) 
    %         title({char(message),num2str((score),1)}); % Show the label
             title(char(message)); % Show the label 
            I=imread(s);
            BW = im2bw(I,0.2); 
            se = strel('rectangle', [2 20]); 
            BW_opened = imclose(BW,se); 
    %         figure, imshow(BW_opened,[]) 
            s=regionprops(BW_opened,'Area','BoundingBox'); 
            [hh,ii] = sort([s.Area],'descend'); 
            out = imcrop(I,s(ii(2)).BoundingBox); 
            figure,imshow(out); 
            movegui(imshow(out),[300,400]);
            out_path = 'C:\Users\Student\Desktop\Vehicle number plate recognition\test images'; % Give path here
            fullFileName = fullfile(out_path, 'test_image.jpg');
            imwrite(out, fullFileName);

            load imgfildata;
            picture=imread(fullFileName);
            [~,cc]=size(picture);
            picture=imresize(picture,[300 500]);

            if size(picture,3)==3
              picture=rgb2gray(picture);
            end
            se=strel('rectangle',[5,5]);
            a=imerode(picture,se);
    %         figure,imshow(a);
            b=imdilate(a,se);
            threshold = graythresh(picture);
            picture =~im2bw(picture,threshold);
            percentageBlack = (1-nnz(picture)/numel(picture))*100
            picture = bwareaopen(picture,50);
            if (percentageBlack < 50)
                picture = imcomplement(picture);
            end 
            [L,Ne]=bwlabel(picture);
    %          propied=regionprops(L,'BoundingBox');
    %         hold on
    %         pause(1)
    %         for n=1:size(propied,1)
    %           rectangle('Position',propied(n).BoundingBox,'EdgeColor','g','LineWidth',1)
    %         end
    %         hold off

    %         figure
            final_output=[];
            t=[];
            for n=1:Ne
              [r,c] = find(L==n);
              n1=picture(min(r):max(r),min(c):max(c));
              n1=imresize(n1,[42,24]);
    %            imshow(n1)
              pause(0.2)
              x=[ ];

            totalLetters=size(imgfile,2);

             for k=1:totalLetters

                y=corr2(imgfile{1,k},n1);
                x=[x y];

             end
             t=[t max(x)];
             if max(x)>.45
             z=find(x==max(x));
             out=cell2mat(imgfile(2,z));

            final_output=[final_output out];
            end
            end

            file = fopen('number_Plate.txt', 'wt');
                fprintf(file,'%s\n',final_output);
                fclose(file);                     
                winopen('number_Plate.txt')

            drawnow;   
            %end