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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.
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