Inspiration

Similar images clubbed together for browsing always appeal the aesthetics rather than a random browsing order. After trying the app on movie names and famous wikipedia, we are trying to build something similar for Images.

What it does

Creates a meaningful browsing order for images based on similarity

How I built it

It uses Caffe-zoo neural net model to construct vector representation of images, K-nearest neighbours are calculated for any given image and a robust TSP tour is ran on the graph using a significant ranking. Imagenet data is used.

What's next for ImageBrowse

The next step would be to make it more personalized for each user similar to Google Photos

Built With

  • caffe-model-zoo
  • imagenet
  • ipython-notebook
  • python
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