Tiny Image Net

GPTKB entity

Statements (57)
Predicate Object
gptkbp:instance_of gptkb:Data
gptkbp:available_at gptkb:Open_ML
gptkb:Kaggle
gptkb:Git_Hub
gptkbp:challenges data quality
overfitting
class imbalance
computational efficiency
model generalization
gptkbp:contains 100,000 images
200 classes
gptkbp:created_by gptkb:Stanford_University
gptkbp:developed_by gptkb:Image_Net
gptkbp:downloadable_content http://tiny-imagenet.herokuapp.com/
gptkbp:evaluates top-5 accuracy
top-1 accuracy
https://www.w3.org/2000/01/rdf-schema#label Tiny Image Net
gptkbp:image_format gptkb:JPEG
gptkbp:image_labeling gptkb:manual
gptkbp:is_divided_into training, validation, test
gptkbp:is_notable_for small size
hyperparameter tuning
model evaluation
ease of use
visualization techniques
feature extraction
performance benchmarking
research applications
data exploration
algorithm testing
educational value
diverse classes
gptkbp:is_part_of gptkb:Image_Net_family
gptkbp:is_popular_in deep learning community
gptkbp:is_similar_to gptkb:CIFAR-10
gptkb:CIFAR-100
gptkbp:is_used_in gptkb:academic_research
educational purposes
competitions
benchmarking algorithms
gptkbp:performance machine learning models
gptkbp:provides_information_on used
gptkbp:release_year gptkb:2015
gptkbp:resolution 64x64 pixels
gptkbp:size 64x64 pixels
gptkbp:supports transfer learning
convolutional neural networks
data science research
computer vision tasks
gptkbp:test_set_size 10,000 images
gptkbp:training_set_size 100,000 images
gptkbp:used_for image classification
gptkbp:validation_set_size 10,000 images
gptkbp:bfsParent gptkb:Wide_Res_Net
gptkb:Res_Net-101
gptkb:Efficient_Net_B3
gptkbp:bfsLayer 6