Google PlaNet trained to identify locations where photos were taken based on visual cues

Google PlaNet trained to identify locations where photos were taken based on visual cues

Computer specialist Tobias Weyand and his colleagues at Google have come up with a deep-learning platform codenamed PlaNet. They have trained the system to figure out locations where pictures have been captured on the basis of visual cues. The project is interesting and it has showcased amazingly high degree of accuracy in detecting places where images were taken. The system is improving with time, said Google research team member Weyand. The specialists at Google began by dividing up the globe into a grid, leaving aside the oceans and polar region. MIT Technology Review reported that thereafter, they formed a database for PlaNet, containing 126 million geo-located pictures taken from the Internet. PlaNet is an artificial neural network, thus it can learn. So the experts taught the network how to recognize…


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