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LOGO_clip_image_embeddings
brunovianna/LOGO_clip_image_embeddings
LOGO_clip_image_embeddings is a machine learning model from brunovianna. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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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Updated May 20, 2023
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.parquet696 MB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- May 20, 2023
- Updated
- May 20, 2023
- SHA
- 1a6913be
Model card
From the Hugging Face model README
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.
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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"
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'
license: apache-2.0
- License
- apache-2.0
- Created
- May 20, 2023
- Updated
- May 20, 2023