face-api.js VS nsfwjs

Then I used face-api.js to find the coordinates of each eye.

I already use recognize in my home NAS. It works fine but it's a NextCloud app (it uses tensorflow through face-api.js). I want something portable and easy to use similar to Google Picasa.

https://github.com/justadudewhohacks/face-api.js/ This is what used in web, can't find similar for react native.

For those looking to not only detect, but also vectorize faces (for later comparison against other faces) -- face recognition, try out: face-api.js

https://github.com/justadudewhohacks/face-api.js/

I saw something similar which used P5.js alongside the face-api.js package.

Meanwhile, Lochlann started to work on facial recognition with face-api.js, which was a challenge. Still, the moment he overcame the hurdle and got it working, the team knew it provided many cool opportunities for this project.

For the record - the author considered these two libraries for face detection: https://github.com/vladmandic/human & https://github.com/justadudewhohacks/face-api.js, he chose "vladmandic/human".

I have used https://github.com/justadudewhohacks/face-api.js/ for facial recognition and it works quite well for a self hosted free option.

While I was writing some initial code I found that Vincent Mühler had already created a high-level API called face-api.js built upon TensorFlow.js which wraps all the low-level operations and provides a convenient API for common tasks like face recognition and emotion detection. He also provides lots of example code on his GitHub repository so I was able to build my first emotion recognizer within a matter of minutes.

That's where the problem with your line of thought occurs. I have no relation to that algorithm or its maker(s). It's just a publicly available AI model that a lot of people use.

This would be interesting 2 years ago, but considering how long is available https://github.com/infinitered/nsfwjs and related https://github.com/nsfw-filter/nsfw-filter this seems just like Bumble's attempt to get into news.

My thoughts on this is, if NSFW removal due to reports is that common, maybe a solution involving something such as [NSFW.js](https://nsfwjs.com/) should be made possible? Consistency when you have a team of more than a few people is always a pain point, so I think having a reference point may end up helping

Perhaps https://nsfwjs.com

There's projects on GitHub which uses a machine learning to help you classify NSFW content. This project seems like an easy plug and play which you can filter out bad projects.

You can play with a web host version of the model on nsfwjs.com since we use the same model.

⭐ Uma biblioteca Tensorflow para inferir com muita acurácia (acurácia, que chique) se uma imagem é inadequeada ou se é segura para uso https://github.com/infinitered/nsfwjs