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gptkbp:instance_of
|
gptkb:Data
|
|
gptkbp:available_at
|
imagenet.org
|
|
gptkbp:based_on
|
gptkb:Word_Net
|
|
gptkbp:challenges
|
gptkb:Image_Net_Large_Scale_Visual_Recognition_Challenge_(ILSVRC)
|
|
gptkbp:collaborated_with
|
government agencies
non-profit organizations
various universities
|
|
gptkbp:competes_with
|
gptkb:CIFAR-10
|
|
gptkbp:contains
|
over 14 million images
|
|
gptkbp:created_by
|
gptkb:Fei-Fei_Li
|
|
gptkbp:has_impact_on
|
AI development
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Image Net dataset
|
|
gptkbp:includes
|
over 20,000 categories
|
|
gptkbp:is_a_source_of
|
various online platforms
crowdsourced data
|
|
gptkbp:is_adopted_by
|
startups
large corporations
|
|
gptkbp:is_analyzed_in
|
object detection
image retrieval
computer vision conferences
|
|
gptkbp:is_associated_with
|
gptkb:Google_Research
|
|
gptkbp:is_cited_in
|
thousands of research papers
|
|
gptkbp:is_collaborative_with
|
academic institutions
|
|
gptkbp:is_distributed_by
|
gptkb:Creative_Commons
|
|
gptkbp:is_documented_in
|
research articles
technical reports
human labelers
|
|
gptkbp:is_evaluated_by
|
performance metrics
classification accuracy
|
|
gptkbp:is_examined_in
|
image segmentation
AI workshops
|
|
gptkbp:is_explored_in
|
virtual reality applications
augmented reality applications
machine learning courses
|
|
gptkbp:is_funded_by
|
gptkb:Stanford_University
|
|
gptkbp:is_influential_in
|
neural network training
|
|
gptkbp:is_integrated_with
|
software frameworks
|
|
gptkbp:is_known_for
|
large-scale image data
|
|
gptkbp:is_part_of
|
data science projects
AI datasets
machine learning benchmarks
|
|
gptkbp:is_promoted_by
|
gptkb:educational_institutions
tech conferences
|
|
gptkbp:is_recognized_by
|
AI community
|
|
gptkbp:is_referenced_in
|
gptkb:Publications
AI ethics discussions
|
|
gptkbp:is_supported_by
|
research grants
tech companies
|
|
gptkbp:is_tested_for
|
deep learning frameworks
baseline models
various algorithms
|
|
gptkbp:is_updated_by
|
ongoing contributions
|
|
gptkbp:is_used_in
|
computer vision tasks
|
|
gptkbp:is_utilized_by
|
gptkb:researchers
|
|
gptkbp:is_utilized_for
|
feature extraction
visual recognition tasks
|
|
gptkbp:is_utilized_in
|
gptkb:vehicles
robotics research
transfer learning
image processing applications
|
|
gptkbp:performance
|
image recognition models
|
|
gptkbp:popularized_by
|
gptkb:Alex_Net
|
|
gptkbp:provides
|
gptkb:social_hierarchy
|
|
gptkbp:release_year
|
gptkb:2009
|
|
gptkbp:scientific_classification
|
synsets
|
|
gptkbp:structure
|
a tree hierarchy
|
|
gptkbp:supports
|
deep learning research
|
|
gptkbp:used_for
|
image classification
|
|
gptkbp:bfsParent
|
gptkb:Image_Net_competition
|
|
gptkbp:bfsLayer
|
4
|