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. We discuss the chal-O. Russakovsky*Stanford University, Stanford, CA, USAE-mail: Deng*University of Michigan, Ann Arbor, MI, USA(* = authors contributed equally)H. SuStanford University, Stanford, CA, USAJ. KrauseStanford University, Stanford, CA, USAS.
(1) image-level annotation of a binary label for the pres-ence or absence of an object class in the image, e.g., \there are cars in this image" but \there are no tigers," and (2) object-level annotation of a tight bounding box and class label around an object instance in the image, e.g., \there is a screwdriver centered at position (20,25)
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