|Description (include details on usage, files and paper references)||The Caltech Buildings dataset consists of images taken for 50 buildings around the Caltech campus. Five different images were taken for each building from different angles and distances, giving a total of 250 images.
The archive includes the images, together with the label for each image i.e. the building ID.
Caltech Buildings Dataset [195 MB]
Collage of all the images in the dataset [520 KB]
Mohamed Aly, Peter Welinder, Mario Munich, and Pietro Perona. Towards Automated Large Scale Discovery of Image Families, Second IEEE Workshop on Internet Vision, CVPR, Miami, Florida, June 2009.