Model Card for LOGO Image Clip Embeddings
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
https://huggingface.co/datasets/ChristophSchuhmann/aesthetic-logo-ratings
New aesthetics scorer: https://github.com/kenjiqq/aesthetics-scorer/
Original aesthetics scorer: https://github.com/christophschuhmann/improved-aesthetic-predictor/
They were processed with OpenClip BigG-14, L-14, and H-14 models.
"laion/CLIP-ViT-bigG-14-laion2B-39B-b160k"
"laion/CLIP-ViT-H-14-laion2B-s32B-b79K"
"laion/CLIP-ViT-L-14-laion2B-s32B-b82K"
https://github.com/mlfoundations/open_clip
Not all images were processed!
Refer to the parquet for the succesfully processed images.
The parquet fields are -'image_url' -'pooled_output' -'projected_embedding', -'professionalism_average' -'preference_average' -'number_of_raters'