That's a point :D
What would be the requirement regarding the dataset. Does it need to be
academic dependent?
Other solution kinda crazy: scikit-learn currently has 555 contributors. If
each of them take picture of some objects predefined, it would be actually
possible to get a small set just to illustrate such concept.
On 22 February 2016 at 20:10, Andreas Mueller <t3k...@gmail.com> wrote:
>
>
> On 02/22/2016 02:04 PM, Guillaume Lemaitre wrote:
> > Maybe the simplest one should be to have texton (patches 9x9) with a PCA
> behind then the clustering. That would be the one without skimage
> dependences.
> >
> yeah... but what dataset? Actually one that has unequal size images
> would be nice, but I'm not sure if I want a caltech 101 loader in sklearn
> ;)
>
>
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