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Re:Comparison of image moderation APIs by mohi13 on Friday August 10, 2018 @03:38AM (#17731380)
Makes a lot of sense, actually its really difficult to get a large enough dataset for moderation tasks to make a decent inhouse model for a fair enough comparison.

Sure, we can try scraping that from pornhub etc but fee then the negative classes would be very domain specific, using stock images may not provide a good measure.

Also, its really weird to assign such a task to any of your employees, feels kinda strange :)

Re:Comparison of image moderation APIs by speeq on Friday August 10, 2018 @06:19AM (#17732033)
Yahoo's model could be fine-tuned: http://caffe.berkeleyvision.org/gathered/examples/finetune_f...

Yeah, it's definitely not a nice task but what's stopping someone (well, besides potential legal issues) from using these commercial APIs to create datasets programatically and training a cloned model from that?

I'm curious what the profit margins are on these APIs because I think they are way overpriced.