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Highlights

Over the years, we have devised various benchmarks to formalize these questions into concrete metrics. (View Highlight)

We find that LAION Aesthetics — a model commonly used to obtain high quality training images — to be highly biased towards depicting women, blurry backgrounds, overly soft textures, and bright images. While these aesthetic scorers and image quality filters are useful for filtering out bad images, relying on these models to obtain high quality training images adds implicit biases to the model’s priors. (View Highlight)