Transcription of ImageNet Large Scale Visual Recognition Challenge
{{id}} {{{paragraph}}}
Example: confidence
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.
larger in scale and diversity than the other image clas-si cation datasets. ILSVRC uses a subset of ImageNet images for training the algorithms and some of Ima-geNet’s image collection protocols for annotating addi-tional images for testing the algorithms. Image parsing datasets. Many datasets aim to provide
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: