11–20 of 79 posts
Facebook already has access to a larger repository of photos going back over a decade and all the years inbetween along with decent face recognition to create a much bigger dataset than resorting to a hashtag challenge. But I guess that wouldn't be newsworthy.
Facebook already has access to a larger repository of photos going back over a decade and all the years inbetween along with decent face recognition to create a much bigger dataset than resorting to a hashtag challenge. But I guess that wouldn't be newsworthy.
Access to what?
Facebook already has access to a larger repository of photos going back over a decade and all the years inbetween along with decent face recognition to create a much bigger dataset than resorting to a hashtag challenge. But I guess that wouldn't be newsworthy.
Earlier quoted context omitted.
Cleanup is standard work for any dataset. With enough money and a pile of Indians working for cheap hourly rates you can clean through A LOT of data. 10,000? Try a million!
Why do they need to be Indian? Sure the data would reflect that a plurality of global low wage workers are from India, but there are also plenty of low wage workers who are not ethnically Indian or geographically based in India (such as all of the Americans working on r/beermoney).
https://globalnews.ca/news/4855500/facebook-10-year-challeng... https://twitter.com/facebook/status/1085675097766031360?ref_... and rebuttal. I know that Facebook's actions mean that it no longer deserves the benefit of the doubt but this seems like a non story that someone really wants to be a story. Thinking about it lest say 10,000 people respond, is that even enough data to move the needle? Which photo do you use…
Cleanup is standard work for any dataset. With enough money and a pile of Indians working for cheap hourly rates you can clean through A LOT of data. 10,000? Try a million!
Earlier quoted context omitted.
Cleanup is standard work for any dataset. With enough money and a pile of Indians working for cheap hourly rates you can clean through A LOT of data. 10,000? Try a million!
My guess is you can just use EXIF metadata and/or picture resolution/sharpness to easily sort old Vs. new. Cameras have come a long way in ten years..
Earlier quoted context omitted.
Why do they need to be Indian? Sure the data would reflect that a plurality of global low wage workers are from India, but there are also plenty of low wage workers who are not ethnically Indian or geographically based in India (such as all of the Americans working on r/beermoney).
By using Indian workers you are helping to provide a living wage for people who really need it, not just for “beer money”.
But, my suspicion is that everyone on beermoney actually has no other income :(
Earlier quoted context omitted.
By using Indian workers you are helping to provide a living wage for people who really need it, not just for “beer money”.
I 1million% agree with giving the money to the worker in need, and I myself would opt for the Indian as well if quality is the same. But, my suspicion is that everyone on beermoney actually has no other income :(