Deep-learning algorithm finds out signs of poverty in satellite images

Satellites are no more used to provide smartphones map driving routes, as the data is also being used to track things like crop conditions, illegal deforestation and poverty level in hard to reach places. Lately, a research team from Stanford University has developed a deep-learning algorithm that can recognize signs of poverty in satellite images like conditions of roads. To develop the technology, the researchers have sifted a million images to get a proper idea of economic conditions in five American nations. Study’s lead author Neal Jean from Stanford University said that they were having so many images that they got confused as to how they can take out vital information. Many international organizations have been looking at satellite imagery as a useful way to collect data remotely, which is…


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