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The challenge has been run annually from 2010 to\npresent, attracting participation from more than fifty institutions.\n  This paper describes the creation of this benchmark dataset and the advances\nin object recognition that have been possible as a result. We discuss the\nchallenges of collecting large-scale ground truth annotation, highlight key\nbreakthroughs in categorical object recognition, provide a detailed analysis of\nthe current state of the field of large-scale image classification and object\ndetection, and compare the state-of-the-art computer vision accuracy with human\naccuracy. 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