SUN09

The SUN09 dataset consists of 12,000 annotated images with more than 200 object categories. It consists of natural, indoor and outdoor images. Each image contains an average of 7 different annotated objects and the average occupancy of each object is 5% of image size. The frequencies of object categories follow a power law distribution.

Source: A Pooling Approach to Modelling Spatial Relations forImage Retrieval and Annotation Image Source: http://people.csail.mit.edu/myungjin/HContext.html