Image datasets used for salient objects? I would like to understand reasons for different image datasets used for salient object detection: their difficulties, their origins and likely future datasets. Does there exist any work explaining them such their progression and characteristics over time?
Datasets explicitly mentioning saliency


MSRA
SOD based on BSD Berkeley segmentation dataset


Apparently more general datasets (not researched in detail)


DUT-Omron Image dataset
THUS
ECSD
PASCAL
...


More challenging situations with more noise


Detection on magnetism such as MR: Medical image dataset and Extract voice from magnetic tape