Constructing an anonymous dataset from the personal digital photo libraries of mac app store users
Jesse Prabawa Gozali, Min‐Yen Kan, Hari Sundaram · 2013
Personal digital photo libraries embody a large amount of information useful for research into photo organization, photo layout, and development of novel photo browser features. Even when anonymity can be ensured, amassing a sizable dataset from these libraries is still difficult due to the visibility and cost that would be required from such a study.