CIFAR-10 Dataset

GPTKB entity

Statements (63)
Predicate Object
gptkbp:instance_of gptkb:Data
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
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