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. The critical difference between the approach taken by Amit Kumar Jakhar and Mrityunjay SinghJaypee of the University of Information Technology in Solan, and Anjani Kumar Shukla of the Bundelkhand Institute of Engineering and Technology, in Jhansi, is that rather than building a recognition system from scratch, the team has pre-trained their model using a vast database. There is a growing need for the classification and annotation of digital images with a view to improving their curation for a wide range of purposes.