why I got very low result of IoU when I compared between two images?

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 , 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 model output(new7027-157) which is needed to be evaluated