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README.md
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license: apache-2.0
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license: apache-2.0
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# Model Card for LOGO Image Clip Embeddings
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The Aesthetics LOGO image dataset is a collection of logos with ratings. It was used to create the visual scorer that evaluated the images in Laion 5B to create the the Laion-Aesthetics dataset
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https://huggingface.co/datasets/ChristophSchuhmann/aesthetic-logo-ratings
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New aesthetics scorer: https://github.com/kenjiqq/aesthetics-scorer/
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Original aesthetics scorer: https://github.com/christophschuhmann/improved-aesthetic-predictor/
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They were processed with OpenClip BigG-14, L-14, and H-14 models.
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* "laion/CLIP-ViT-bigG-14-laion2B-39B-b160k"
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* "laion/CLIP-ViT-H-14-laion2B-s32B-b79K"
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* "laion/CLIP-ViT-L-14-laion2B-s32B-b82K"
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https://github.com/mlfoundations/open_clip
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**Not all images were processed!**
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Refer to the parquet for the succesfully processed images.
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The parquet fields are
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-'image_url'
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-'pooled_output'
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-'projected_embedding',
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-'professionalism_average'
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-'preference_average'
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-'number_of_raters'
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---
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license: apache-2.0
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