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First of all, thank you for the great work in collecting and annotating these images.
Second of all, there is a lot of unofficial images, is there any way we can contribute to evaluating those images (a lot of them have teachers noise, however, a lot of them are quite usable)?
This dataset could be quite useful, however, in its current form, it is diverse enough to be genuinely useful for some real world problems.
The text was updated successfully, but these errors were encountered:
Hi,
First of all, thank you for the great work in collecting and annotating these images.
Second of all, there is a lot of
unofficial
images, is there any way we can contribute to evaluating those images (a lot of them have teachers noise, however, a lot of them are quite usable)?This dataset could be quite useful, however, in its current form, it is diverse enough to be genuinely useful for some real world problems.
The text was updated successfully, but these errors were encountered: