The 10-year challenge has taken the social media world by read more
The 10-year challenge has taken the social media world by storm. People from around the world have been posting pictures comparing themselves from a decade ago with their present self.
For the majority of the people, the challenge was about how they have aged with time. For Facebook, it could have been a golden opportunity to train its facial recognition algorithms.
Machine learning based algorithms need huge datasets to produce good results. As the dataset increases, their accuracy improves as they are able to generalize better. Modern facial recognition algorithms are based on machine learning techniques and just like them they also need huge chunks of data.
The 10-year challenge has made a huge dataset for Facebook to train its algorithms on. Facebook itself harbors over 2 billion people and owns Instagram, a network loved by the younger generation. So now you can image how much data Facebook has.
The other interesting thing about this dataset is that it’s labeled. That means the image has some sort of label to identify sections in it.
