#10YearChallenge and data mining
"If you use social media, you've probably noticed a trend across Facebook, Instagram, and Twitter of people posting their then-and-now profile pictures, mostly from 10 years ago and this year. Imagine that you wanted to train a facial recognition algorithm on age-related characteristics and, more specifically, on age progression (e.g., how people are likely to look as they get older). Ideally, you'd want a broad and rigorous dataset with lots of people's pictures. It would help if you knew they were taken a fixed number of years apart—say, 10 years.... In other words, thanks to this meme, there’s now a very large dataset of carefully curated photos of people from roughly 10 years ago and now." Read more on: https://www.wired.com/story/facebook-10-year-meme-challenge/ Best regards -- Grace Githaiga Co-Convenor, Kenya ICT Action Network
Thank you Grace. A more expounded view of the underlying principle in my article below.... Facebook 10 year Challenge- Welcome to Artificial Intelligence - https://www.predictiveanalytics.co.ke/blog/?p=110 On Wed, 16 Jan 2019, 22:56 Grace Githaiga via kictanet < kictanet@lists.kictanet.or.ke wrote:
"If you use social media, you've probably noticed a trend across Facebook, Instagram, and Twitter of people posting their then-and-now profile pictures, mostly from 10 years ago and this year.
Imagine that you wanted to train a facial recognition algorithm on age-related characteristics and, more specifically, on age progression (e.g., how people are likely to look as they get older). Ideally, you'd want a broad and rigorous dataset with lots of people's pictures. It would help if you knew they were taken a fixed number of years apart—say, 10 years....
In other words, thanks to this meme, there’s now a very large dataset of carefully curated photos of people from roughly 10 years ago and now."
Read more on: https://www.wired.com/story/facebook-10-year-meme-challenge/
Best regards
-- Grace Githaiga Co-Convenor, Kenya ICT Action Network
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The Kenya ICT Action Network (KICTANet) is a multi-stakeholder platform for people and institutions interested and involved in ICT policy and regulation. The network aims to act as a catalyst for reform in the ICT sector in support of the national aim of ICT enabled growth and development.
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Grace If I was a conspiracy theorist my head will be spinning right now... Regards *Ali Hussein* *Principal* *AHK & Associates* Tel: +254 713 601113 Twitter: @AliHKassim Skype: abu-jomo LinkedIn: http://ke.linkedin.com/in/alihkassim <http://ke.linkedin.com/in/alihkassim> 13th Floor , Delta Towers, Oracle Wing, Chiromo Road, Westlands, Nairobi, Kenya. Any information of a personal nature expressed in this email are purely mine and do not necessarily reflect the official positions of the organizations that I work with. On Wed, Jan 16, 2019 at 10:56 PM Grace Githaiga via kictanet < kictanet@lists.kictanet.or.ke> wrote:
"If you use social media, you've probably noticed a trend across Facebook, Instagram, and Twitter of people posting their then-and-now profile pictures, mostly from 10 years ago and this year.
Imagine that you wanted to train a facial recognition algorithm on age-related characteristics and, more specifically, on age progression (e.g., how people are likely to look as they get older). Ideally, you'd want a broad and rigorous dataset with lots of people's pictures. It would help if you knew they were taken a fixed number of years apart—say, 10 years....
In other words, thanks to this meme, there’s now a very large dataset of carefully curated photos of people from roughly 10 years ago and now."
Read more on: https://www.wired.com/story/facebook-10-year-meme-challenge/
Best regards
-- Grace Githaiga Co-Convenor, Kenya ICT Action Network
_______________________________________________ kictanet mailing list kictanet@lists.kictanet.or.ke https://lists.kictanet.or.ke/mailman/listinfo/kictanet Twitter: http://twitter.com/kictanet Facebook: https://www.facebook.com/KICTANet/
Unsubscribe or change your options at https://lists.kictanet.or.ke/mailman/options/kictanet/info%40alyhussein.com
The Kenya ICT Action Network (KICTANet) is a multi-stakeholder platform for people and institutions interested and involved in ICT policy and regulation. The network aims to act as a catalyst for reform in the ICT sector in support of the national aim of ICT enabled growth and development.
KICTANetiquette : Adhere to the same standards of acceptable behaviors online that you follow in real life: respect people's times and bandwidth, share knowledge, don't flame or abuse or personalize, respect privacy, do not spam, do not market your wares or qualifications.
participants (3)
-
Ali Hussein -
Grace Githaiga -
Timothy- Coach- Oriedo