switchablenorms / DeepFashion2

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

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Viewpoint missing in the train data

majercakdavid opened this issue · comments

The train data annotations does contain only 3 classes for viewpoint (1, 2, 3), however, there are 4 classes described in the paper. I assume that the labels should be as follows:

  • 1 - frontal
  • 2 - side
  • 3 - back
  • 4 - no wear

If so, even though, there are some images with which are not wore by any person they still belong to one of the top 3 classes.

Code to reproduce the issue:
Screenshot from 2020-03-16 15-53-54

In README, it is defined as below:
viewpoint: a number, where 1 represents no wear, 2 represents frontal viewpoint and 3 represents side or back viewpoint.

@geyuying This means though that the plot in the paper cannot be reproduced using the data. What was the reason for abandoning the 4 class split?