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nurul-oxen/
CIFAR-10

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CIFAR-10
public
images
135.7 mb
adding labels to test.csv
3 yrs ago
images_test
Unknown size
adding labels to test.csv
3 yrs ago
images_train
Unknown size
adding labels to test.csv
3 yrs ago
test.csv
278.9 kB
adding labels to test.csv
tabular
3 yrs ago
labels.txt
59 B
removing trailing blank line from labels.txt
text
3 yrs ago
generate_csv.py
1.2 kB
adding label file
text
3 yrs ago
Readme.md
1.2 kB
updating data to be rgb and in different directories
text
3 yrs ago
train.csv
1.4 mb
updating data to be rgb and in different directories
tabular
3 yrs ago
Last commit cannot be located
About

The CIFAR-10 dataset (Canadian Institute for Advanced Research, 10 classes) is a subset of the Tiny Images dataset and consists of 60000 32x32 color images. The images are labelled with one of 10 mutually exclusive classes: airplane, automobile (but not truck or pickup truck), bird, cat, deer, dog, frog, horse, ship, and truck (but not pickup truck). There are 6000 images per class with 5000 training and 1000 testing images per class.

16 commits
3 contributors
11 downloads
137.4 mb
0 stars
Project contents
image > 99%
text < 1%
tabular < 1%
137.4 mb
1460K
Contributors
@nurul-oxen
Bessie
@ox
@benartuso
CIFAR-10/
2 branches