ImageNet Large Scale Visual Recognition Challenge
GPTKB entity
Properties (52)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
competition
|
| gptkbp:associated_with |
gptkb:ResNet
gptkb:AlexNet Inception VGGNet |
| gptkbp:awards |
trophies
cash prizes |
| gptkbp:established |
2010
|
| gptkbp:has_a |
researchers and developers
|
| gptkbp:has_a_history_of |
advancing_AI
|
| gptkbp:has_a_role_in |
AI competitions
technology development |
| gptkbp:has_a_website |
imagenet.org
|
| gptkbp:has_partnerships_with |
universities
research institutions tech companies |
| gptkbp:hasCollection |
gptkb:ImageNet_dataset
|
| gptkbp:hasFieldOfUse |
artificial intelligence
machine learning computer vision |
| gptkbp:held_annually |
yes
|
| https://www.w3.org/2000/01/rdf-schema#label |
ImageNet Large Scale Visual Recognition Challenge
|
| gptkbp:impact |
deep learning
neural networks |
| gptkbp:includes |
millions of images
thousands of categories |
| gptkbp:influence |
AI applications
computer vision research image recognition technology |
| gptkbp:is_a_resource_for |
image classification tasks
object detection tasks image segmentation tasks |
| gptkbp:is_a_source_of |
training data
validation data testing data |
| gptkbp:is_a_subject_of |
media coverage
academic research industry analysis |
| gptkbp:is_evaluated_by |
top-5 accuracy
top-1 accuracy |
| gptkbp:is_known_for |
large-scale image classification
|
| gptkbp:is_organized_by |
Fei-Fei Li
|
| gptkbp:is_recognized_for |
industry
academic community |
| gptkbp:is_used_in |
numerous research papers
|
| gptkbp:notable_winners |
various teams
|
| gptkbp:participatesIn |
researchers
|
| gptkbp:partOf |
gptkb:ImageNet
|
| gptkbp:sponsor |
various companies
|
| gptkbp:was_a_catalyst_for |
AI advancements
machine learning breakthroughs computer vision innovations |