3. Verify dataset statistically
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Visual quality assessment evaluates the visual quality of the annotations, and statistical evaluation gives different insights via numbers.
I’ll show you common things we should check. I hope you can take these as an example to apply to your own dataset (which probably have different properties than the example).
1. Show stats
Let’s use print-stats to show the statistics of the dataset:
labelmetk print-stats amazon-picking-challenge-2016
It should give output like below:
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