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I tried to train from the original images and annotations downloaded from your homepage but obtain bad results using crowd layer and doctor net. But I achieved similar results using Majority-vote and DS labels. So I wonder if crowd layer still works when training from a dataset whose most samples lack annotations especially when there are so many annotators but most of them did not label all samples.
The text was updated successfully, but these errors were encountered:
I tried to train from the original images and annotations downloaded from your homepage but obtain bad results using crowd layer and doctor net. But I achieved similar results using Majority-vote and DS labels. So I wonder if crowd layer still works when training from a dataset whose most samples lack annotations especially when there are so many annotators but most of them did not label all samples.
The text was updated successfully, but these errors were encountered: