Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
Classes:
If there are defects that are not in the category above, DO NOT add it to the training dataset(either leave it or add it to the testing set).
If there are pictures that are cropped or lack clearity, delete from project.
If there are pictures with no defects, mark as null.
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Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
Classes:
If there are defects that are not in the category above, DO NOT add it to the training dataset(either leave it or add it to the testing set).
If there are pictures that are cropped or lack clearity, delete from project.
If there are pictures with no defects, mark as null.