what is the different between jaccrad index and evaluatese​manticSegm​entation?

The mathworks shown jaccrad index in https://www.mathworks.com/help/images/ref/jaccard.html

and evaluate semantic segemnetation shown in https://www.mathworks.com/help/vision/ref/evaluatesemanticsegmentation.html

are the both the same to calculate IoU or the second one used for machine learning and the fisrt one to compaire between pair of images only?

Answer 1

[Shantanu Dixit]

Hi Yasmin,

'Jaccard Index' typically calculates the Intersection over Union (IoU) for pairwise comparison of two binary or labeled images whereas 'evaluateSemanticSegmentation'includes IoU as one of many metrics including "accuracy","bfscore","global-accuracy" and "weighted-iou" for evaluating semantic segmentation models. Overall it provides a comprehensive analysis to evaluate the quality of semantic segmentation results against the ground truth segmentation.

In summary, while both can compute IoU, 'evaluateSemanticSegmentation' is intended for more detailed evaluation of machine learning models, whereas 'jaccard' is for comparing individual image pairs.