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/

  • pexavc@lemmy.worldOP
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    1 year ago

    Yeah. Have been thinking of this exact scenario. How to create solutions around anything that might “filter” while respecting the worldviews of all. I feel the best approach so far, is if filters are to be implemented. It should never be a 1 all be all and should always be “a toggle”. Ultimately respecting the user’s freedom of choice while providing the best quality equipment to utilize effectively when needed