|
gptkbp:instance_of
|
gptkb:Image_Net_Large_Scale_Visual_Recognition_Challenge
|
|
gptkbp:challenges
|
gptkb:Internationalization_support
Object detection
|
|
gptkbp:class
|
1000
|
|
gptkbp:community
|
Computer vision community
|
|
gptkbp:evaluates
|
gptkb:Annual
Cross-validation
Top-5 error rate
|
|
gptkbp:field_of_study
|
gptkb:Artificial_Intelligence
Deep learning
Machine learning
|
|
gptkbp:focus
|
Image classification
|
|
gptkbp:has_artwork
|
over 1.2 million
|
|
gptkbp:held_in
|
gptkb:Stanford_University
|
|
gptkbp:hosted_by
|
gptkb:University_of_Michigan
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
ILSVRC 2012
|
|
gptkbp:image_format
|
gptkb:JPEG
|
|
gptkbp:impact
|
Advancement of convolutional neural networks
|
|
gptkbp:is_divided_into
|
Training, validation, and test sets
|
|
gptkbp:is_documented_in
|
Manual labeling
|
|
gptkbp:notable_achievement
|
Development of new architectures
Benchmark for future research
Improved accuracy in object recognition
Increased interest in neural networks
Influence on subsequent competitions
Reduction of error rates in image classification
|
|
gptkbp:notable_models
|
gptkb:Goog_Le_Net
gptkb:Res_Net
gptkb:VGGNet
|
|
gptkbp:participants
|
Numerous teams worldwide
|
|
gptkbp:predecessor
|
ILSVRC 2011
|
|
gptkbp:provides_information_on
|
gptkb:Image_Net
Web images
|
|
gptkbp:related_event
|
gptkb:Neur_IPS_conference
AAAI conference
CVPR conference
CVPR workshop
Deep learning workshop
ECCV conference
ICCV conference
ICLR conference
|
|
gptkbp:resolution
|
256x256 pixels
|
|
gptkbp:significance
|
Popularized deep learning in computer vision
|
|
gptkbp:sponsor
|
gptkb:Microsoft
gptkb:Stanford_University
gptkb:Google
gptkb:NVIDIA
gptkb:Facebook
|
|
gptkbp:successor
|
gptkb:ILSVRC_2013
|
|
gptkbp:winner
|
gptkb:Alex_Net
|
|
gptkbp:year
|
gptkb:2012
|
|
gptkbp:bfsParent
|
gptkb:ILSVRC_2013
|
|
gptkbp:bfsLayer
|
8
|