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Is there anyway to read more about the technical bits regarding how this is done, i.e. how are the annotations made?

Sure, why not. I scrape multiple Russian websites with photos and annotate pics with https://azure.microsoft.com/en-us/services/cognitive-service...

Surprisingly MS does much better than Google and their https://cloud.google.com/vision/

I tried both and got frustrated with almost random results from Google.

Those platforms you're sourcing the photos from presumably have content restrictions, which causes the "nude" tag to be dominated by photos without any humans in them. For example this flame: https://taken.photos/photos/2568745/

Well, there was a bug in my data migration/cleanup script for tags. Thanks for catching.

The 'curated collection' statement means 'there is no adult or NSFW' content. AI does great job with detecting nudity, and as a pragmatic person I decided to keep all scraped adult content and have it served at https://nudes.best/

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