AI analysis of dinosaur tracks suggests 'predator' may have been a herbivore
The researchers trained a convolutional neural network on 1,500 dinosaur footprints, which were split into theropods or ornithopods – a type of dinosaur closely related to ornithischians. The model only looked at the overall shape of the footprint images, and did not consider other types of information – like their sizes or surface features. It was then tested on a set of 36 tracks.
Still, they claimed the model outperformed human experts during testing."Eighty-six per cent of tracks were correctly classified while 14 [percent] were incorrectly classified. If all neural network decisions above 0.4 and below 0.6 are treated as ambiguous , the neural network classified 67 [percent] of tracks correctly and 11 [percent] incorrectly. The human experts, on average, classified 57 [percent] correctly, 20 [percent] incorrectly and 24 [percent] as ambiguous," they wrote.
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