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gptkbp:instance_of
|
gptkb:Data
|
|
gptkbp:available_at
|
academic institutions
tech companies
research labs
|
|
gptkbp:contains
|
1000 classes
bounding box annotations
synonym sets
|
|
gptkbp:contributes_to
|
transfer learning
|
|
gptkbp:created_by
|
gptkb:Stanford_University
|
|
gptkbp:downloadable_content
|
http://www.image-net.org/download-images
|
|
gptkbp:evaluates
|
top-5 accuracy
|
|
gptkbp:has_impact_on
|
gptkb:AI_technology
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Image Net-1 K
|
|
gptkbp:image_format
|
gptkb:JPEG
|
|
gptkbp:influenced_by
|
gptkb:Alex_Net
|
|
gptkbp:is_associated_with
|
gptkb:Tensor_Flow
gptkb:Keras
gptkb:Caffe
gptkb:MXNet
gptkb:Py_Torch
deep learning frameworks
convolutional neural networks
|
|
gptkbp:is_cited_in
|
numerous research papers
|
|
gptkbp:is_divided_into
|
test set
training set
validation set
|
|
gptkbp:is_documented_in
|
object categories
|
|
gptkbp:is_evaluated_by
|
machine learning models
image recognition systems
computer vision algorithms
|
|
gptkbp:is_part_of
|
AI training datasets
|
|
gptkbp:is_popular_in
|
deep learning community
|
|
gptkbp:is_related_to
|
gptkb:Artificial_Intelligence
gptkb:Graphics_Processing_Unit
gptkb:neural_networks
gptkb:machine_learning
image processing
big data
data science
data augmentation
pattern recognition
feature extraction
visual recognition
transfer learning techniques
|
|
gptkbp:is_used_by
|
gptkb:Microsoft
gptkb:Amazon
gptkb:Google
gptkb:NVIDIA
gptkb:Facebook
|
|
gptkbp:part_of
|
gptkb:Image_Net
|
|
gptkbp:performance
|
computer vision tasks
|
|
gptkbp:provides
|
pre-trained models
|
|
gptkbp:release_year
|
gptkb:2010
|
|
gptkbp:resolution
|
varied
|
|
gptkbp:size
|
over 1.2 million images
|
|
gptkbp:supports
|
deep neural networks
|
|
gptkbp:used_for
|
image classification
|
|
gptkbp:used_in
|
gptkb:Image_Net_Large_Scale_Visual_Recognition_Challenge_(ILSVRC)
|
|
gptkbp:bfsParent
|
gptkb:Swin_Transformer
|
|
gptkbp:bfsLayer
|
5
|