Artificial Idiocy and Quality of Data
Reading the post I noticed that only 30,000 photos from 264 homes were used for training. This strikes as too small a sample set of the homes even in the US let alone the world. The results underscore a well known problem with computers 'Garbage In = Garbage Out'. A much wider variety of situations must be carefully documented (probably by hand) before being fed into the idiocy system. Poor quality data, for whatever reason, means the analyses based on the system are at best very limited and more likely basically useless for their intended purpose.
Biting the hand that feeds IT
