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Thank you very much for your sharing! Datasets about crack are really hard to find. But i've found out that some crack mask in dataset are much more wider than the real crack, let's take Volker_DSC01704_219_142_1156_1117.jpg in this dataset as example, crack width in the mask is about 10 pixels, while the real crack width is about 2 or 3 pixel width.
Is crack label width 3 times larger than the crack 's real width? I think mismatch crack width would effect the segmentation model' s performance, as the BCE loss would take crack pixel gray value into account, and i don't know how to generate accurate crack pixel width based on these wider masks
Any advice or suggestions would be appreciated! Thank you again!
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whrenstone
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Crack foreground mask is much more wider than the real crack
Crack mask is much more wider than the real crack
Sep 22, 2020
The text was updated successfully, but these errors were encountered: