# CLIP+MLP Aesthetic Score Predictor

Train, use and visualize an aesthetic score predictor ( how much people like on average an image ) based on a simple neural net that takes CLIP embeddings as inputs.


Link to the AVA training data ( already prepared) :
https://drive.google.com/drive/folders/186XiniJup5Rt9FXsHiAGWhgWz-nmCK_r?usp=sharing


Visualizations of all images from LAION 5B (english subset with 2.37B images) in 40 buckets with the model sac+logos+ava1-l14-linearMSE.pth:
http://captions.christoph-schuhmann.de/aesthetic_viz_laion_sac+logos+ava1-l14-linearMSE-en-2.37B.html



{}
region:us
TAGS
#region-us 

# CLIP+MLP Aesthetic Score Predictor

Train, use and visualize an aesthetic score predictor ( how much people like on average an image ) based on a simple neural net that takes CLIP embeddings as inputs.


Link to the AVA training data ( already prepared) :
URL


Visualizations of all images from LAION 5B (english subset with 2.37B images) in 40 buckets with the model sac+logos+URL:
URL



# CLIP+MLP Aesthetic Score Predictor

Train, use and visualize an aesthetic score predictor ( how much people like on average an image ) based on a simple neural net that takes CLIP embeddings as inputs.


Link to the AVA training data ( already prepared) :
URL


Visualizations of all images from LAION 5B (english subset with 2.37B images) in 40 buckets with the model sac+logos+URL:
URL
TAGS
#region-us 
 # CLIP+MLP Aesthetic Score Predictor

Train, use and visualize an aesthetic score predictor ( how much people like on average an image ) based on a simple neural net that takes CLIP embeddings as inputs.


Link to the AVA training data ( already prepared) :
URL


Visualizations of all images from LAION 5B (english subset with 2.37B images) in 40 buckets with the model sac+logos+URL:
URL
TAGS
#region-us 
# CLIP+MLP Aesthetic Score Predictor

Train, use and visualize an aesthetic score predictor ( how much people like on average an image ) based on a simple neural net that takes CLIP embeddings as inputs.


Link to the AVA training data ( already prepared) :
URL


Visualizations of all images from LAION 5B (english subset with 2.37B images) in 40 buckets with the model sac+logos+URL:
URL