I feel it's a good idea for those building native clients for Lemmy implement projects like these to run offline inferences on feed content for the time-being. To cover content that are not marked NSFW and should be.

What does everyone think, about enforcing further censorship, especially in open-source clients, on the client side as long as it pertains to this type of content?

Edit:

There's also this, but it takes a bit more effort to implement properly. And provides a hash that can be used for reporting needs. https://github.com/AsuharietYgvar/AppleNeuralHash2ONNX .

Python package MIT: https://pypi.org/project/opennsfw-standalone/

you are viewing a single comment's thread
view the rest of the comments

[–] WhoRoger@lemmy.world 3 points 1 year ago (1 children)

I wish there were such detectors for other triggering stuff, like gore, or creepy insects, or any visual based phobia. Everyone just freaks out about porn.

[–] pexavc@lemmy.world 1 points 1 year ago* (last edited 1 year ago)

Actually am looking at this exact thing. Compiling them into an open source package to use on Swift. Just finished nsfw. But everything you mentioned should be in a “ModerationKit” as well. Allowing users to toggle based on their needs.