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text-to-image-bias

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Avijit Ghosh commited on 26 days ago

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6eeec9f

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@@ -159,8 +159,6 @@ We create visual grids to represent the data:
 - **Skin Tone Grids**: Skin tones are plotted as exact hex codes rather than using the Fitzpatrick scale, which can be problematic and limiting for darker skin tones.
 - **Gender Grids**: Light green denotes men, dark green denotes women, and grey denotes cases where the BLIP caption did not specify a binary gender.
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 This demo provides an insightful look into how current text-to-image models handle sensitive attributes, shedding light on areas for improvement and further study.
 [Here is an article](https://medium.com/@evijit/analysis-of-ai-generated-images-of-indian-people-for-colorism-and-sexism-b80ff946759f) showing how this space can be used to perform such analyses, using colorism and sexism in India as an example.
 ''')

 - **Skin Tone Grids**: Skin tones are plotted as exact hex codes rather than using the Fitzpatrick scale, which can be problematic and limiting for darker skin tones.
 - **Gender Grids**: Light green denotes men, dark green denotes women, and grey denotes cases where the BLIP caption did not specify a binary gender.
 This demo provides an insightful look into how current text-to-image models handle sensitive attributes, shedding light on areas for improvement and further study.
 [Here is an article](https://medium.com/@evijit/analysis-of-ai-generated-images-of-indian-people-for-colorism-and-sexism-b80ff946759f) showing how this space can be used to perform such analyses, using colorism and sexism in India as an example.
 ''')