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"After running the hashes against 100 million non-CSAM images" They don't say what kind/distribution of non-CSAM images. Landscapes? Parent pix of kids in the
by tyingq 5y ago
"After running the hashes against 100 million non-CSAM images"
They don't say what kind/distribution of non-CSAM images. Landscapes? Parent pix of kids in the bathtub? Cat memes? Porn of young adults? Photos from real estate listings?
I suspect some pools of image types would have a much higher hit rate.
Edit: And, well "hot dog / not hot dog" is impressive on a set of random landscapes too.
- foxfluff 5y agoWell the same article also claims zero false positives for "a collection of adult pornography." I don't know if the size of that collection is mentioned anywhere. Anyway, I suspect that the algo is more likely to pick defining features of the scene and overall composition (furniture, horizon, lighting, position & shape of subject and other objects) more than the subject matter itself.
- tyingq 5y agoThat's why I included "Photos from real estate listings?" in my list.