|
gptkbp:instance_of
|
gptkb:Image_Net_Large_Scale_Visual_Recognition_Challenge
|
|
gptkbp:challenges
|
Visual recognition
|
|
gptkbp:class
|
1000
|
|
gptkbp:community_impact
|
Increased interest in AI
Collaboration between academia and industry
Development of new architectures
Emergence of new benchmarks
Global participation in AI challenges
Growth of open-source frameworks
Increased availability of datasets
Increased collaboration in research
Increased funding for AI research
Standardization of evaluation metrics
|
|
gptkbp:contribution
|
Popularization of CNNs
|
|
gptkbp:evaluates
|
gptkb:Annual
Top-5 error rate
|
|
gptkbp:evaluation_data
|
Test set
Training set
Validation set
|
|
gptkbp:followed_by
|
gptkb:ILSVRC_2014
|
|
gptkbp:format
|
Predictions on test set
|
|
gptkbp:has_artwork
|
over 1.2 million
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
ILSVRC 2013
|
|
gptkbp:impact
|
Advancement of computer vision
|
|
gptkbp:is_tasked_with
|
Image classification
|
|
gptkbp:location
|
Worldwide
|
|
gptkbp:media_coverage
|
Extensive
|
|
gptkbp:notable_models
|
gptkb:Alex_Net
|
|
gptkbp:notable_speakers
|
gptkb:Geoffrey_R._Hinton
|
|
gptkbp:notable_submission
|
gptkb:Goog_Le_Net
gptkb:Res_Net
gptkb:VGGNet
|
|
gptkbp:notable_technique
|
gptkb:Deep_Learning
|
|
gptkbp:notable_work
|
Significant reduction in error rates
|
|
gptkbp:organizer
|
gptkb:Image_Net
|
|
gptkbp:participants
|
Various research teams
|
|
gptkbp:preceded_by
|
gptkb:ILSVRC_2012
|
|
gptkbp:predecessor
|
gptkb:ILSVRC_2012
|
|
gptkbp:provides_information_on
|
gptkb:Image_Net
|
|
gptkbp:related_event
|
gptkb:Neur_IPS_2013
|
|
gptkbp:research_focus
|
Deep neural networks
|
|
gptkbp:sponsor
|
Various tech companies
|
|
gptkbp:successor
|
gptkb:ILSVRC_2014
|
|
gptkbp:winner
|
gptkb:Google
|
|
gptkbp:year
|
gptkb:2013
|
|
gptkbp:bfsParent
|
gptkb:ILSVRC_2014
|
|
gptkbp:bfsLayer
|
7
|