Ground truth is incorrect for many example

#4
by nk1221 - opened

So I have been randomly sampling the image crops using bbox coordinates. I have noticed many problems:

  1. Difference between the image crop and ground truth. I considered the possibility of filtering based on the confidence scores (0.99). But there are still some examples that can creep in.

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  1. Image crop coordinates are flipped.

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  1. The image crops contain text not present in the ground truth.

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These are some of the major problems I have noticed with the dataset. This is a shame because the dataset is rich...

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