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Hello, thanks for your share. I am confuse about why you divide the data set into trainOK and trainNG. What do NG and OK mean respectively
The text was updated successfully, but these errors were encountered:
Download the dataset from this commit: https://github.com/seanXYZ/SegDecNet/tree/172b47cc87e3abc62e30b78ea28a996bfb52f3d1
NG stands for the images with a crack (positives), while OK is the collection of negative images
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Hello, thanks for your share. I am confuse about why you divide the data set into trainOK and trainNG. What do NG and OK mean respectively
The text was updated successfully, but these errors were encountered: