a single large object in a canonical perspective centered in the image, Fig. \[fig:iconic\](a). Iconic-scene images are shot from canonical viewpoints and commonly lack people, Fig. \[fig:iconic\](b). Iconic images have the benefit that they may be easily found by directly searching for specific categories using Google or Bing image search. While iconic images generally provide high quality object instances, they can lack important contextual information and non-canonical viewpoints.

Our goal was to collect a dataset such that a majority of images are non-iconic, Fig. \[fig:iconic\](c). It has been shown that datasets containing more non-iconic images are better at generalizing [@torralba2011unbiased]. We collected non-iconic images using two strategies. First as popularized by PASCAL VOC [@PASCAL], we collected images from Flickr which tends to have fewer iconic images. Flickr contains photos uploaded by amateur photographers with searchable metadata and keywords. Second, we did not search for object categories in isolation. A search for “dog” will tend to return iconic images of large, centered dogs. However, if we searched for pairwise combinations of object categories, such as “dog + car” we found many more non-iconic images. Surprisingly, these images typically do not just contain the two categories specified in the search, but numerous 