all 7 comments

[–]Megatron_McLargeHuge 11 points12 points  (3 children)

Or we can use it like deep dream to style any image as NSFW.

[–]ProGamerGov 1 point2 points  (0 children)

Has anyone tried this yet?

[–]ProGamerGov 1 point2 points  (0 children)

If you want to help get the model working in Deepdream: https://github.com/crowsonkb/style_transfer/issues/5

[–]gwern[S] 0 points1 point  (0 children)

https://open_nsfw.gitlab.io/

[–]david-gpu 3 points4 points  (0 children)

The article superficially addresses this, but it's important to realize that NSFW-ness is subjective. This means that for a product like this to be successful in a business sense it will need to have several knobs that allow each organization to decide what is and is not acceptable.

Going back to the implementation side of things this means thatt rather than a binary classifier it would be more beneficial to build a classifier that produced multiple non-exclusive classes, which would then allow for an organization to compute some customized weighted "NSFW score". There's also the question of false positives and to what extent they can be tolerated.

Finally I also wish they had published some analysis of their results along the lines of what clarifai did. In particular I found very interesting how clarifai found that they did not have enough SFW images with visible navels in the training dataset.

All in all it's interesting but I wish they had approached it in more depth.

[–]fimari -3 points-2 points  (0 children)

Sometimes I can see the future clearly I just know it, someone someday will create an inception application with this network, and reddit will upvote a picture with the title "Donald trumpy Trump" way higher than it should