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?
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.
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.