EuroNet / Champagne
Class: Champagne
This class was learned from 150 images of Champagne. The visualizations below show the maximally activated representations of what makes Champagne look like Champagne. Each image begins with a randomly-seeded noise image, which leads to a slightly different class representation. Below are 12 activations created from 12 random noise images.
Data Sources
- Images used for training: 150
- Image sources: Google (49) , Flickr (65)
- Bounding boxes and URLs: champagne.json