Transcription of ImageNet Large Scale Visual Recognition Challenge
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ImageNet Large Scale Visual Recognition Challenge
Noname manuscript No.(will be inserted by the editor) ImageNet Large Scale Visual Recognition ChallengeOlga Russakovsky* Jia Deng* Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael Bernstein Alexander C. Berg Li Fei-FeiReceived: date / Accepted: dateAbstractThe ImageNet Large Scale Visual Recogni-tion Challenge is a benchmark in object category classi-fication and detection on hundreds of object categoriesand millions of images. The Challenge has been run an-nually from 2010 to present, attracting participationfrom more than fifty paper describes the creation of this benchmarkdataset and the advances in object Recognition thathave been possible as a result.
2 In 2010, the test annotations were later released publicly; since then the test annotation have been kept hidden. successful of these algorithms in this paper, and com-pare their performance with human-level accuracy. Finally, the large variety of object classes in ILSVRC allows us to perform an analysis of statistical properties
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