A NSFW detector with CoreML (github.com)

submitted 1 year ago* (last edited 1 year ago) by pexavc@lemmy.world to c/opensource@lemmy.ml

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Other samples:

Android: https://github.com/nipunru/nsfw-detector-android

Flutter (BSD-3): https://github.com/ahsanalidev/flutter_nsfw

Keras MIT https://github.com/bhky/opennsfw2

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/

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[-] WhoRoger@lemmy.world 5 points 1 year ago

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 2 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.