this post was submitted on 28 Aug 2023
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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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[–] newIdentity@sh.itjust.works 4 points 1 year ago

Depends on the country you live in but in most countries there are laws to protect you against abuse. Personally I wouldn't host anything for anyone except myself because then I would need to give everyone my full name and home address, because that's the law in Germany.

There still is the moral aspect of it though.