How to label multiple objects in object detection with different names?

Hi there!
I've a problem with labelling my objects in an image.
Let's have a look at the image:
TestFotoprobleem.PNG
This programme is detecting front/rear of the cars and a stop sign. I want the labels to say what they're looking at. For example: "Stop Sign Confidence: 1.0000", CarRear Confidence: 0.6446 and etc. As you may see, my programme adds the probability factors correctly. But there are still no strings/labelnames attached.
You can have a look at my code:
%%
% Read test image
testImage = imread('StopSignTest2.jpg');
% Detect stop signs
[bboxes,score,label] = detect(rcnn,testImage,'MiniBatchSize',128)
% Display detection results
label_str = cell(3,1);
conf_val = [score];
conf_lab = [label];
for ii=1:3
label_str{ii} = [ ' Confidence: ' num2str(conf_val(ii), '%0.4f')];
end
position = [bboxes];
outputImage = insertObjectAnnotation(testImage,'rectangle',position,label_str,...
'TextBoxOpacity',0.9,'FontSize',10);
figure
imshow(outputImage)
%%
I have NO clue in how to add strings in the label_str{ii} like the way I did with scores (num2str(conf_val(ii)).
Thanking you in advance!

 采纳的回答

If insertObjectAnnotation() is not working, then use text().

1 个评论

Thanks for the response! Much appreciated.
I've fixed the problem by the following line code:
conf_val = [score];
conf_lab = [label];
for ii=1:3
label_str{ii} = [sprintf('%s', conf_lab(ii)) ' Confidence: ' num2str(conf_val(ii), '%0.4f')];

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Hello, How can i change the colors of bounding box?

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@Quoc-Bao Ta, use the AnnotationColor option of insertObjectAnnotation.
outputImage = insertObjectAnnotation(testImage,'rectangle',position,label_str,...
'TextBoxOpacity',0.9,'FontSize',10, ...
'LineWidth', 2, 'AnnotationColor', 'r');

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hi, is it possible that you can share the code for multiple class detection. I've been trying but couldnt figure it out. I can only train one object but more than one doesnt work. please help

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