Properties (55)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:class |
1000
|
| gptkbp:community |
AI and machine learning community
|
| gptkbp:contributedTo |
computer vision research
|
| gptkbp:dataTransmission |
training, validation, test sets
|
| gptkbp:dataUsage |
ImageNet_database
|
| gptkbp:evaluates |
top-5 error rate
|
| gptkbp:focus |
image classification
|
| gptkbp:format |
annual competition
|
| gptkbp:heldIn |
gptkb:Stanford_University
|
| https://www.w3.org/2000/01/rdf-schema#label |
ILSVRC 2014
|
| gptkbp:image |
over 1.2 million
|
| gptkbp:impact |
advancement in deep learning
|
| gptkbp:influence |
subsequent competitions
|
| gptkbp:judgingCriteria |
held-out test set
|
| gptkbp:location |
Worldwide
|
| gptkbp:notableFeature |
gptkb:Convolutional_Neural_Networks
gptkb:Geoffrey_Hinton |
| gptkbp:notableModels |
Inception
|
| gptkbp:participants |
researchers from various institutions
|
| gptkbp:predecessor |
gptkb:ILSVRC_2013
|
| gptkbp:research_focus |
gptkb:explainable_AI
data privacy reinforcement learning unsupervised learning AI applications data augmentation model interpretability object detection transfer learning multi-task learning ensemble methods feature extraction image segmentation neural architecture search AI deployment adversarial training semi-supervised learning AI accountability AI fairness AI transparency model compression self-supervised learning AI scalability AI efficiency AI sustainability AI robustness ethical_AI |
| gptkbp:significance |
benchmark for image recognition
|
| gptkbp:sponsor |
gptkb:ImageNet
|
| gptkbp:submissionDeadline |
model predictions
|
| gptkbp:successor |
gptkb:ILSVRC_2015
|
| gptkbp:type |
computer vision competition
|
| gptkbp:winner |
gptkb:Google
|
| gptkbp:year |
2014
|