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jasoncorkill 
posted an update 2 days ago
Post
2884
🚀 We tried something new!

We just published a dataset using a new (for us) preference modality: direct ranking based on aesthetic preference. We ranked a couple of thousand images from most to least preferred, all sampled from the Open Image Preferences v1 dataset by the amazing @data-is-better-together team.

📊 Check it out here:
Rapidata/2k-ranked-images-open-image-preferences-v1

We're really curious to hear your thoughts!
Is this kind of ranking interesting or useful to you? Let us know! 💬

If it is, please consider leaving a ❤️ and if we hit 30 ❤️s, we’ll go ahead and rank the full 17k image dataset!
jasoncorkill

@davanstrien might be interesting for you 🚀

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davanstrien

This is very cool! I was always curious about doing something like this! Could be quite cool to train a "aesthic preference model" on this kind of dataset. Could be quite cool to try and use as a reward model for image gen training...

cc @sayakpaul @multimodalart @linoyts @davidberenstein1957 who might also find this data interesting :)

abc123dw-ug5

what are you working on?

agentlans

I leave ❤️ because there aren't many of these datasets. I only know of LAION's aesthetic rankings and small datasets from research papers.

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