wow, got 8. guess I'm not that ugly as I thought.
I got a 7.4, but it went up to 8 when I changed the lighting. I wonder how much is based only on the face
How normal am I?
31–40 of 323 posts
Re: How normal am I?
#32Re: How normal am I?
#33Interestingly, if you click on the ToS you end up on a page explaining how it works (can't link it).
The beauty scoring model was found on Github (this or this one). The models to predict age, gender and facial expression/emotion are part of FaceApiJS, which forms the backbone of this project. Do note that its developer doesn't fully divulge on which photos the models were trained. Also, FaceApiJS is bad at detecting "Asian guys".
Apparently some dating apps rates their users with these sort of algorithms. Maybe I'm living under a rock but I did not know that was a thing.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme, under grant agreement No 786641.
Re: How normal am I?
#34Re: How normal am I?
#35I'm mesmerized that so many of the HN crowd are willing to let some website take pictures of them in order to present some "funny/interesting results".
Re: How normal am I?
#36Interestingly, if you click on the ToS you end up on a page explaining how it works (can't link it). The beauty scoring model was found on Github (this or this one). The models to predict age, gender and facial expression/emotion are part of FaceApiJS, which forms the backbone of this project. Do note that its developer doesn't fully divulge on which photos the models were trained. Also, FaceApiJS is bad at detecting…
How does a patchwork of APIs and open source pretrained models receive funding from the eu...
Re: How normal am I?
#37Interestingly, if you click on the ToS you end up on a page explaining how it works (can't link it). The beauty scoring model was found on Github (this or this one). The models to predict age, gender and facial expression/emotion are part of FaceApiJS, which forms the backbone of this project. Do note that its developer doesn't fully divulge on which photos the models were trained. Also, FaceApiJS is bad at detecting…
How does a patchwork of APIs and open source pretrained models receive funding from the eu...
Indeed - I was also surprised by this. One possibility, which I hope is true, is that the authors are funded for something else (some actual research). If they spent a few hours of their workday to throw this together, they might be obligated to cite their funding agency.
I know for a fact that I've acknowledged funding agencies on papers about topics that were at best extremely tangential to my grant.
A less flattering possibility is that they wanna use EU affiliation as a badge for respect for privacy or something like that.
Re: How normal am I?
#38I'm mesmerized that so many of the HN crowd are willing to let some website take pictures of them in order to present some "funny/interesting results".
There are already photos of me on the internet, which can be downloaded and analysed by anybody.
Re: How normal am I?
#39It underestimated my age by 15 years. Not sure if this is due to the AI being biased or simply inaccurate in general. (I'm Asian, and from the experience of me and others, Asians tend to get their age greatly underestimated in the west.)
Re: How normal am I?
#40Earlier quoted context omitted.
How does a patchwork of APIs and open source pretrained models receive funding from the eu...
Indeed - I was also surprised by this. One possibility, which I hope is true, is that the authors are funded for something else (some actual research). If they spent a few hours of their workday to throw this together, they might be obligated to cite their funding agency. I know for a fact that I've acknowledged funding agencies on papers about topics that were at best extremely tangential to my grant. A less flatter…
You have to label it clearly in your project if you have received Horizon money. It's a requirement from CORDIS. The funding is for the whole SHERPA project, not just for that page.'
The first objective of SHERPA is to "represent and visualise the ethical and human rights challenges of SIS (artificial intelligence and big data analytics) through case studies". This page does that nicely. That it is put together with available resources instead of some over engineered solution is just a plus.