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Data Set Modules
James Bergstra edited this page Jan 23, 2014
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So far skdata provides the following data sets.
- Blobs - synthetic.py
- Boston - toy.py
- Brodatz - brodatz.py
- CALTECH101 - caltech.py
- CALTECH256 - caltech.py
- CIFAR10 - dataset.py view.py main.py
- Convex - larochelle_etal_2007/dataset.py
- Digits - digits.py
- Diabetes - diabetes.py
- IICBU2008 - iicbu.py
- Iris - dataset.py view.py
- FourRegions - synthetic.py
- Friedman1 - synthetic.py
- Friedman2 - synthetic.py
- Friedman3 - synthetic.py
- Labeled Faces in the Wild (LFW) - dataset.py view.py main.py
- Linnerud - toy.py
- LowRankMatrix - synthetic.py
- Madelon - synthetic.py
- MNIST - dataset.py view.py main.py
- MNIST Background Images - larochelle_etal_2007/dataset.py
- MNIST Background Random - larochelle_etal_2007/dataset.py
- MNIST Basic - larochelle_etal_2007/dataset.py
- MNIST Rotated - larochelle_etal_2007/dataset.py
- MNIST Rotated Background Images - larochelle_etal_2007/dataset.py
- MNIST Noise {1,2,3,4,5,6} - larochelle_etal_2007/dataset.py
- Randlin - synthetic.py
- Rectangles - larochelle_etal_2007/dataset.py
- Rectangles Images - larochelle_etal_2007/dataset.py
- PascalVOC {2007, 2008, 2009, 2010, 2011} - pascal.py
- PosnerKeele - dataset.py view.py main.py
- PubFig83 pubfig83.py
- S Curve - synthetic.py
- SampleImages - toy.py
- SparseCodedSignal - synthetic.py
- SparseUncorrelated - synthetic.py
- Swiss Roll - synthetic.py
- Van Hateren Natural Images - dataset.py main.py