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explicit472392 artist:aurorafang450 artist:dtcx97829 artist:foxy91725 artist:justafallingstar399 artist:shadowinkwarrior5 artist:soshiney4 artist:strebiskunk353 artist:yoditax1229 derpibooru exclusive40503 derpibooru8090 analysis264 artificial intelligence225 deep learning7 informative21 machine learning5 meta18644 neural network14 tags737 text89758
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ponesearching
Lunar Supporter - Helped forge New Lunar Republic's freedom in the face of the Solar Empire's oppressive tyrannical regime (April Fools 2023).

Filled with errors
@Scp-3125  
Could be pretty useful to… make more SFW filtering content…
 
My, 2 years already, I now lean towards data visualization rather than to train the model lately.
Scp-3125
Lunar Supporter - Helped forge New Lunar Republic's freedom in the face of the Solar Empire's oppressive tyrannical regime (April Fools 2023).
My Little Pony - 1992 Edition
Wallet After Summer Sale -

Memetic eldritch horror
I wonder how a visual transformer network would handle a problem like this. I imagine that it’s use of attention mechanisms would make it easier for it to spot porn
Background Pony #0960
@Ganondox  
At the bottom you see Equal Error Rate 9.48% (point when false positive rate = false negative rate). Indeed at this point the filter would not be the most accurate thing ever. However without more information we can’t say how well it would work if you set it very sensitive to detecting explicit images (we need ROC curve for that).
Ganondox
Non-Fungible Trixie -

What’s the false positive and false negative rate? Because I’m not going to trust a filter for explicit content that only has %89 accuracy.
Background Pony #F56F
@Background Pony #D6DA
 
Ah yes, my bad! I thought I was commenting on the [suggestive] version of the image ^^.
 
Yes, it is a non-explicit image which got high score for explicit. tag: "explicit" means the saliency map is computed for tag [explicit]. Admittedly it is rather suggestive image, which is probably why it got high score. This image was not in the training set.
Background Pony #9DE6
@Background Pony #CE34
 
That’s not what I meant, although I may have misunderstood. >>1748971, here on Derpibooru, is not tagged “explicit.” In the image above, you say ‘tag: “explicit”’ underneath it. Do you mean that this is a non-explicit image which the program improperly thought was explicit? I just want to make sure a teaching image didn’t get miscategorized.
Background Pony #F56F
@dashbug  
Much like #9793 said, that model is not even aware of clop images and hence gives nonsense with such images.
 
I run this model here on the images you posted, and got 99% and 61% “explicit-percentage”.
 
(Sidenote: Ponies could make more interesting nsfw-detection dataset, because ponies come in different colors and shapes. Last time I checked, isitporn.com seems to focus on naked-skin color. We would rather want it to find explicit bits, much like this model did with the cherry-picked examples)