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.
puter vision accuracy with human accuracy. We con-clude with lessons learned in the ve years of the chal-lenge, and propose future directions and improvements. Keywords Dataset Large-scale Benchmark Object recognition Object detection 1 Introduction Overview. The ImageNet Large Scale Visual Recogni-tion Challenge (ILSVRC) has been running annually
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