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The notebook contains an example to slice ffhq according to the ethnicities detected by DeepFace ("asian (including indian)", "black", "white", "middle eastern", "latino hispanic"), and non-detected ("unknown").

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linear bot commented Jan 5, 2024

GSK-2243 Performance on different ethnicities

L'Oreal doesn't have its own nomenclature, Alex suggested to use DeepFace to estimate it, we should scope light-weight open-source models that can detect this.

@Inokinoki Inokinoki requested a review from rabah-khalek January 5, 2024 16:50
@rabah-khalek rabah-khalek changed the title [GSK-2243] Add ffhq slicing example based on DeepFace ethnicity detection Jan 8, 2024
@rabah-khalek rabah-khalek requested a review from Hartorn January 8, 2024 12:26
@rabah-khalek rabah-khalek requested a review from Hartorn January 8, 2024 13:25
@rabah-khalek rabah-khalek merged commit 3a73646 into main Jan 8, 2024
@rabah-khalek rabah-khalek deleted the feature/gsk-2243-performance-on-different-ethnicities branch January 8, 2024 13:31
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