Saliency Detection

Salient Object Detection benchmark

• This benchmark aggregates results from 36 methods over five datasets (MSRA10K, ECSSD, THUR15K, JuddDB, and DUTOMRON).

AIM

• 120 Images / 20 Observers (Neil D. B. Bruce and John K. Tsotsos 2005).

LeMeur

• 27 Images / 40 Observers (O. Le Meur, P. Le Callet, D. Barba and D. Thoreau 2006).

Kootstra

• 100 Images / 31 Observers (Kootstra, G., Nederveen, A. and de Boer, B. 2008).

DOVES

• 101 Images / 29 Observers (van der Linde, I., Rajashekar, U., Bovik, A.C., Cormack, L.K. 2009).

Ehinger

• 912 Images / 14 Observers (Krista A. Ehinger, Barbara Hidalgo-Sotelo, Antonio Torralba and Aude Oliva 2009).

NUSEF

• 758 Images / 75 Observers (R. Subramanian, H. Katti, N. Sebe1, M. Kankanhalli and T-S. Chua 2010).

JianLi 235 Images / 19 Observers (Jian Li, Martin D. Levine, Xiangjing An and Hangen He 2011).

Extended Complex Scene Saliency Dataset (ECSSD)

• ECSSD contains 1000 natural images with complex foreground or background. For each image, the ground truth mask of salient object(s) is provided.