Measurement of accuracy for image segmentation of land cover image in python

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I have a land cover image and I segmented it using K-means clustering algorithm. Now I want to calculate the accuracy of my segmentation. How do I do that?

I have read about dice similarity co-efficient and jaccard similarity

I tried to apply them to my images but soon realized that they will always evaluate to zero as they take into account the matching of intensity/pixel values which are not same for the original and segmented image in my case. I used this algorithm. How do I solve this issue? Please guide me, considering me a novice in the field.



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