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README

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

Core symbols most depended-on inside this repo

Shape

Method 15
Class 3
Function 3

Languages

Python100%

Modules by API surface

visulaize_100k_from_LAION400M.py7 symbols
simple_inference.py7 symbols
train_predictor.py6 symbols
prepare-data-for-training.py1 symbols

For agents

$ claude mcp add improved-aesthetic-predictor \
  -- python -m otcore.mcp_server <graph>

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