metadata
dataset_info:
features:
- name: img
dtype: image
- name: label
dtype:
class_label:
names:
'0': airplane
'1': automobile
'2': bird
'3': cat
'4': deer
'5': dog
'6': frog
'7': horse
'8': ship
'9': truck
splits:
- name: train
num_bytes: 11123131
num_examples: 5000
- name: test
num_bytes: 11142330
num_examples: 5000
download_size: 22360037
dataset_size: 22265461
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
Please see uoft-cs/cifar10 for the original dataset. This is a downsampled version for CSC-413.
To cite:
@TECHREPORT{Krizhevsky09learningmultiple,
author = {Alex Krizhevsky},
title = {Learning multiple layers of features from tiny images},
institution = {},
year = {2009}
}