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vikasTmz avatar vikasTmz commented on May 21, 2024 2

From the Original Paper:

Jones & Rehg (1998) constructed skin and non-skin models from a dataset of nearly one billion labeled pixels. A neural network was then trained on 5453 adult images and 5226 non-adult images. The procedure resulted in 93% correct detections with 8% false-positives. Lin, Chen, & Fuh (2003)
contends that the training process for neural networks is very slow and difficult because pornography classification is a matter of opinion

But this is an old paper and a lot of better and faster ANNs have been developed recently.

You can have a look at this Cloth Parser which also segments out skin from the image. This parser was primarily trained on full body images, but as far as I have tested, it is skin-color invariant.

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GarkGarcia avatar GarkGarcia commented on May 21, 2024 1

Does anyone have any update on that? Microsoft Azure's Computer Vison seems like the better alternative for now...

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pa7 avatar pa7 commented on May 21, 2024 1

jep, anyone who's planning to solve nudity detection: there's plenty of new research that has been done in this field, nude.js was implemented based on an old paper and was more of a proof of concept to see how far we can push browsers at that time

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niksmac avatar niksmac commented on May 21, 2024

IMHO neural networks is a big player for this small project. Cant we do some more image processing to achieve this?

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Swizz avatar Swizz commented on May 21, 2024

Yes, I know.
But they are many and many case of nudity.
And I think is really difficult to match all of them with pixels colors analysis.

Any idea ?

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niksmac avatar niksmac commented on May 21, 2024

@Swizz540 yeah, makes sense. I am interested in working this. Lets think through and start. Share some thoughts to get started.

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Swizz avatar Swizz commented on May 21, 2024

Well.
I have no knowledge in neural networks. Only about the basics.

I carry many ideas, but no practise which could help us.

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