2017/07/27 by Maciej Suchecki, Suchecki, Maciej, T. P. Trzcinski +1
Computer Science · Neuroscience · #Aesthetic Perception and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Visual Attention and Saliency Detection
paper · pdf · doi:10.48550/arxiv.1707.08985
openalex publication_date 2017/07/27 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28
Evaluating aesthetic value of digital photographs is a challenging task,\nmainly due to numerous factors that need to be taken into account and\nsubjective manner of this process. In this paper, we propose to approach this\nproblem using deep convolutional neural networks. Using a dataset of over 1.7\nmillion photos collected from Flickr, we train and evaluate a deep learning\nmodel whose goal is to classify input images by analysing their aesthetic\nvalue. The result of this work is a publicly available Web-based application\nthat can be used in several real-life applications, e.g. to improve the\nworkflow of professional photographers by pre-selecting the best photos.\n