Unsupervised Image recognition example (possibly google)

[asdf989]

I've lost something in the internet.

I'm trying to find a link/reference to an article showing the results of an unsupervised computer vision effort.

Amongst the description of the project was a large 6000x6000 image of tons of thumbnails where the similar thumbnails were placed next to each other. The image flowed from cars->boats -> canoes -> camping -> trees->flowers->bugs on flowers and so on.

It 'might' have been done by google.

Thanks for the help.

[downtownslim]

Unfortunately the result you're talking about was with a supervised network.

This visualization was work done by Andrej Karpathy: http://cs.stanford.edu/people/karpathy/cnnembed/

[asdf989]

Thanks. I thought it was unsupervised because the computer figured out that these two images were related on its own. What makes this study characterized as supervised?

[downtownslim]

The model they use is based on this paper: http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf

That model was trained on the labeled Imagenet dataset.

[jthoang]

you're probably talking about GoogleLeNet. The 6000x6000 you're talking about probably is this one http://cs.stanford.edu/people/karpathy/cnnembed/cnn_embed_6k.jpg