why I got very low IoU compaired with ssim?

%%SSim

A = imread('new7027-157.png');

BW_groundTruth =imread('Label7027_157.png');

[ssimval,ssimmap] = ssim(A,BW_groundTruth);

imshow(ssimmap,[])

title("Local SSIM Map with Global SSIM Value: "+num2str(ssimval))

0.93

%%IoU

A = logical(imread('new7027-157.png'));

BW_groundTruth =logical(imread('Label7027_157.png'));

similarity = jaccard(A, BW_groundTruth)

similarity =

0.2822

I created GroundTuth by using Image segmenter App and export it to work space and i got high result 0.93 when I applied ssim , then i used jaccrad index(IoU) and I got 0.2822 , why I got very law result although both images seem same by eye vision, how to fix it, is it related to the way of creating groundtruth or I missed something to do after labeling before calculationg the similarity? can you help me to fix it please?

I attached the original image (70027-157.jpg) which used in Image segmenter App for labeling, the labeled image is(label7027-157), the the model output(new7027-157) which is needed to be evaluated