But face recognition is a sensitive/politically-charged topic, I know several grad students (including me) who inspite of having ready-to-deploy scalable software and datasets (~10M instagram images) stay away from doing this type of a demo because reputational risks are enormous. Consider the controversy around geofeedia etc. The last thing you want as a PhD student is press interpreting your research incorrectly and blaming you for causing widespread harm. It happened to a student/professor in my department and even then the infamous study in question was in collaboration with the social network.
There are several cool alternatives, apply it to movies, video game faces etc.
> We prohibit crawling, scraping, caching or otherwise accessing any content on the Service via automated means, including but not limited to, user profiles and photos (except as may be the result of standard search engine protocols or technologies used by a search engine with Instagram's express consent).
Don't be creepy
Hasn't OP already addressed this in the 1st few lines in his post ?
> But after showing it to a couple of my "friends" they thought it was too creepy and Instagram might sue me for breaking their platform policy and I should stop doing it.
> So, I did what most sane people would do - write a blog post detailing how I did it, and open source it.
Or did he update his blog post after reading the comments here? I don't even know if there's any way to find out.
Side note: I don't find this creepy. It's somewhat ironic that Facebook, the owner of Instagram started off way more creepy when Zuckerberg created Facemash, the precursor to Facebook.
> For those who haven’t seen the movie, Facemash presented the user with two randomly selected pictures of Harvard students and then let the user vote on which one was hotter.
It's not creepy to analyze globally public data.
It would be interesting to use this data in order to finde small cliques :)