Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
computer vision task
|
| gptkbp:basedOn |
gptkb:ImageNet_dataset
|
| gptkbp:bench |
image classification algorithms
|
| gptkbp:datasetSize |
over 1 million images
|
| gptkbp:firstChallengeYear |
2010
|
| https://www.w3.org/2000/01/rdf-schema#label |
ImageNet Classification
|
| gptkbp:influenced |
transfer learning
model scaling techniques |
| gptkbp:influencedBy |
convolutional neural networks
|
| gptkbp:measures |
top-1 accuracy
top-5 accuracy |
| gptkbp:notableModel |
gptkb:GoogLeNet
gptkb:ResNet gptkb:VGGNet gptkb:EfficientNet gptkb:AlexNet |
| gptkbp:numberOfStudents |
1000
|
| gptkbp:popularizedBy |
gptkb:ImageNet_Large_Scale_Visual_Recognition_Challenge
|
| gptkbp:relatedTo |
object recognition
|
| gptkbp:significance |
advanced deep learning adoption
|
| gptkbp:usedIn |
deep learning research
|
| gptkbp:bfsParent |
gptkb:Deep_Neural_Networks
|
| gptkbp:bfsLayer |
7
|