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r12 - 24 Dec 2009 - 14:36:44 -
DumitruErhan
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PublicDatasets
Datasets that we created in our lab
A collection of datasets inspired by the ideas from
BabyAISchool
:
BabyAIShapesDatasets
: distinguishing between 3 simple shapes
BabyAIImageAndQuestionDatasets
: a question-image-answer dataset
Datasets generated for the purpose of an empirical evaluation of deep architectures (
DeepVsShallowComparisonICML2007
):
MnistVariations
: introducing controlled variations in MNIST
RectanglesData
: discriminating between wide and tall rectangles
ConvexNonConvex
: discriminating between convex and nonconvex shapes
BackgroundCorrelation
: controlling the degree of correlation in noisy MNIST backgrounds
List of others datasets that we use in our lab
Pattern recognition
MNIST digits
: digit classification (10 classes)
USPS
: digit classification (10 classes)
NORB v1.0
: large-scale image classification (6 classes)
NORB v1.0 small
: a simpler version of NORB
Caltech 256
: natural image classification with 256 classes
Caltech 101
: natural image classification with 101 classes
Binary alpha digits
: alpha numeric digit classification
Datasets
collected by Sam Roweis
Tiny Images
: natural image thumbnail classification (~70k classes)
ShapesetDataForJMLR
Collaborative filtering
Netflix prize
GroupLens data
Text
Reuters-21578
Contact
Please
contact
us
if
you are interested in the scripts that we used to generate our data.
--
FredericBastien
- 25 Aug 2008
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Public.PublicDatasets moved from Public.PublicDataset on 25 Aug 2008 - 23:09 by
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