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Publication Type : Conference Proceedings
Publisher : Advances in Intelligent Systems and Computing, Springer International Publishing,
Source : Advances in Intelligent Systems and Computing, Springer International Publishing, Volume 1108, Cham (2019)
ISBN : 9783030372187
Keywords : Computer vision, Deep learning, Eye Tracking, heat map, image classification
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2019
Abstract : Starting from images captured on mobile phones, advertisements popping up on our internet browser to e-retail sites displaying flashy dresses for sale, every day we are dealing with a large quantity of visual information and sometimes, finding a particular image or visual content might become a very tedious task to deal with. By classifying the images into different logical categories, our quest to find an appropriate image becomes much easier. Image classification is generally done with the help of computer vision, eye tracking and ways as such. What we intend to implement in classifying images is the use of deep learning for classifying images into pleasant and unpleasant categories. We proposed the use of deep learning in image classification because deep learning can give us a deeper understanding as to how a subject reacts to a certain visual stimuli when exposed to it.
Cite this Research Publication : S. Tamuly, Jyotsna C, and Amudha J., “Deep Learning Model for Image Classification”, Advances in Intelligent Systems and Computing, vol. 1108. Springer International Publishing, Cham, 2019.