Convolution neural network used to identify dog breeds from photographs

Researchers in India have demonstrated how a convolution neural network can be used to identify dog breeds from photographs. Writing in the International Journal of Swarm Intelligence, the team explains how they have trained their algorithm with more than 15 million images of dogs and used a model that could carry out 22,000 different object classifications on those good resolution images. The system can then correctly identify which of 133 breeds is represented by a new photograph of a dog presented to it with 98 percent accuracy.

from News on Artificial Intelligence and Machine Learning https://ift.tt/3k7DSUp
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