Semantic-Segment-Anything
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messy category generation data
For the messy category generation data, such as "the word '50' in white letters," "three blue plastic rabbits", "three blue plastic snowflakes", "some very pretty blue and black items" and "1 ultra blue" are there any other methods to further clean them?