It would be nice if someone could compare these commercially available APIs with Yahoo's open_nsfw model in terms of accuracy: https://github.com/yahoo/open_nsfw

I'm currently building an API wrapper around it and running it on a Hetzner server with a GTX 1080 - prediction takes about 0.25 seconds and while I haven't optimised it for parallel execution, I think it should be able to handle at least +10 images/sec comfortably. I'm also testing video moderation by using ffmpeg to slice the video into screenshots and predicting the min/avg/high scores.

Moderating 25 million explicit images using Google Cloud Vision would cost around $19,500/mo vs €99/mo on Hetzner.

I really hope you haven’t picked a dataset that features only women nudity, but sample images suggest otherwise: https://dataturks.com/projects/Mohan/NSFW(Nudity%20Detection...

I tried out various image labeling APIs, including Google Vision (Safe Search) for exactly this use case (moderation). I was honestly astonished at the pricing of these APIs. Google is somewhere at 1.50€ for 1000 images which is - imo - very expensive. I tried out the default models that come with Tensorflow but well, they are trained on scientific datasets which typically involve species and flowers - no luck there either. Any good tips for pre-trained models that solve this (for tensorflow)?

For those interested, PixLab let you analyze 50K images or video frames via its /nsfw endpoint for $25. They charge $0.9 per 1000 requests after you reach this quota.

https://pixlab.io/cmd?id=nsfw

https://pixlab.io/pricing

what is the verdict? i been just scrolling down to see which is best and cant find any.

The sample images shown only feature white women. Is that a limitation of the dataset?

BTW we had a question in general to anyone who can help us, Does hosting such a dataset cause issues with SEO etc? Anything else we should be aware of?