Downloads · 30 days
0
AVA_image_clip_embeddings
brunovianna/AVA_image_clip_embeddings
AVA_image_clip_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 AVA image dataset is a collection of digital photos with ratings. It was used to create the visual scorer that evaluated the images in Laion 5B to create the the Laion-Aesthetics dataset
Access
Public
Updated May 24, 2023
Repo size
6.6 GB
Likes
3
Public
Repo makeup
Click a slice to open those files.
.parquet6.6 GB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- May 16, 2023
- Updated
- May 24, 2023
- SHA
- 9e616819
Model card
From the Hugging Face model README
Model Card for AVA Image Clip Embeddings
The AVA image dataset is a collection of digital photos 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://github.com/imfing/ava_downloader/
“AVA: A Large-Scale Database for Aesthetic Visual Analysis”.
Naila Murray, Luca Marchesotti, Florent Perronnin, CVPR 2012.
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_name", #same id as AVA csv
- "pooled_output"
- "projected_embedding"
- License
- apache-2.0
- Created
- May 16, 2023
- Updated
- May 24, 2023