gptkbp:instance_of
|
gptkb:Data
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gptkbp:available_at
|
https://www.cs.toronto.edu/~kriz/cifar.html
|
gptkbp:class_count
|
gptkb:10
|
gptkbp:contains
|
60,000 images
|
gptkbp:created_by
|
gptkb:Alex_Krizhevsky
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gptkbp:data_labeling
|
gptkb:manual
|
gptkbp:data_preprocessing
|
normalization
augmentation
|
gptkbp:data_type
|
image data
benchmark dataset
label data
|
gptkbp:distribution
|
gptkb:military_uniforms
|
gptkbp:downloadable_content
|
gptkb:Kaggle
gptkb:Tensor_Flow_Datasets
Py Torch Datasets
|
gptkbp:evaluates
|
accuracy
cross-validation
holdout validation
|
gptkbp:format
|
gptkb:Python
binary
|
gptkbp:has_artwork
|
60,000
|
https://www.w3.org/2000/01/rdf-schema#label
|
CIFAR-10 Dataset
|
gptkbp:image_format
|
RGB
|
gptkbp:is_analyzed_in
|
machine learning research
computer vision research
pattern recognition research
|
gptkbp:is_divided_into
|
training and testing
10 classes
|
gptkbp:is_often_used_in
|
data visualization
hyperparameter tuning
model evaluation
transfer learning
feature extraction
training neural networks
algorithm comparison
testing algorithms
benchmarking performance
training classifiers
developing models
|
gptkbp:is_popular_in
|
gptkb:machine_learning
computer vision
|
gptkbp:label
|
gptkb:deer
gptkb:bird
gptkb:ship
gptkb:horse_race
gptkb:aircraft
gptkb:Cat
gptkb:vehicles
gptkb:Dog
gptkb:automobile
gptkb:Toad
|
gptkbp:performance
|
deep learning models
|
gptkbp:release_year
|
gptkb:2009
|
gptkbp:resolution
|
32x32 pixels
|
gptkbp:source
|
gptkb:University_of_Toronto
|
gptkbp:test_set_size
|
10,000 images
|
gptkbp:training_set_size
|
50,000 images
|
gptkbp:used_for
|
image classification
|
gptkbp:bfsParent
|
gptkb:DCGAN
gptkb:Pixel_CNN
gptkb:Deep_Residual_Learning
gptkb:Vision_Transformers
|
gptkbp:bfsLayer
|
6
|