uoft-csc413
Collection
5 items
•
Updated
img
imagewidth (px) 32
32
| label
class label 5
classes |
|---|---|
0airplane
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4deer
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1automobile
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2bird
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1automobile
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1automobile
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1automobile
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1automobile
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2bird
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1automobile
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1automobile
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0airplane
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4deer
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4deer
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0airplane
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3cat
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1automobile
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4deer
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3cat
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4deer
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4deer
|
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2bird
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2bird
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2bird
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3cat
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4deer
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0airplane
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1automobile
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3cat
|
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3cat
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4deer
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4deer
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2bird
|
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0airplane
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3cat
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2bird
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3cat
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0airplane
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2bird
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0airplane
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0airplane
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2bird
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0airplane
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2bird
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0airplane
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4deer
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2bird
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3cat
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1automobile
|
|
4deer
|
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4deer
|
|
3cat
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0airplane
|
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1automobile
|
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3cat
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2bird
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4deer
|
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3cat
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2bird
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3cat
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1automobile
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0airplane
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0airplane
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1automobile
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3cat
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1automobile
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1automobile
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3cat
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2bird
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1automobile
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1automobile
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0airplane
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4deer
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1automobile
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0airplane
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0airplane
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1automobile
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1automobile
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0airplane
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0airplane
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3cat
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4deer
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3cat
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2bird
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3cat
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2bird
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0airplane
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1automobile
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|
2bird
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3cat
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1automobile
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2bird
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1automobile
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3cat
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3cat
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0airplane
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1automobile
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|
2bird
|
|
3cat
|
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3cat
|
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}
}