| MSRA |
Learning to Detect a Salient Object, CVPR 2007. |
Not Found |
Not Specific |
Image set A: 20840 images, Image set B: 5000 images selected from A with less ambiguity. (Training set: Randomly select 2000 from set A, and 1000 from set B) |
| MSRA-B |
Salient Object Detection: A Discriminative Regional Feature Integration Approach, CVPR 2013. |
Homepage |
Image set B of MSRA |
2500 images for training, 500 for validation, and 2000 for testing (full list can be found at the bottom of the project page.) |
MSRA10K
(THUS10000) |
Global Contrast based Salient Region Detection, PAMI 2015. |
Homepage |
MSRA |
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| SED1/2 |
Image Segmentation by Probabilistic Bottom-up Aggregation and Cue Integration, CVPR 2007. |
Homepage |
Unknown |
200 images, 1 or 2 clear objects. |
| MSRA-1000 |
Frequency-tuned Salient Region Detection, CVPR 2009. |
Homepage |
MSRA |
Contour label. Work that be evaluated on this dataset has less power of persuasion, suggested by CMM. |
| CSSD |
Hierarchical Saliency Detection, CVPR 2013. |
Homepage |
BSD300, VOC dataset and internet. |
Complex Scene Saliency Dataset(CSSD). 200 images.(Normally used for test.) |
| ECSSD |
Hierarchical Image Saliency Detection on Extended CSSD, PAMI 2016. |
Homepage |
Internet |
Semantically meaningful but structurally complex images. 1000 images.(Normally used for test.) |
| THUR |
SalientShape: Group Saliency in Image Collections, The Visual Computing 2014. |
Homepage |
Flickr |
6000+ images for 5 categories: butterfly, coffe mug, dog jump, griaffe, and plane. |
| PASCAL-S |
The Secrets of Salient Object Detection, CVPR 2014. |
Homepage |
the validation set of the PASCAL VOC 2010 |
Relative saliency between salient instances. 850 images(Normally used for test.). |
| HKU-IS |
Deep Contrast Learning for Salient Object Detection, CVPR 2015. |
Homepage |
Unknown |
2500 images for training, 500 for validation, and 1447 for testing. |
| Judd-DB |
What is a salient object? A dataset and a baseline model for salient object detection, TIP 2015 |
Unknown |
Judd |
900 images. |
| DUT-OMRON |
Saliency Detection Via Graph-Based Manifold Ranking, CVPR 2013. |
Homepage |
SUN database |
5019 images for testing. More details could be found in their FCV paper. |
| DUTS |
Learning to Detect Salient Objects with Image-level Supervision, CVPR 2017. |
Homepage |
ImageNet DET datasets |
10553 training images and 5019 test images. |
| ILSO |
Instance-Level Salient Object Segmentation, CVPR 2017. |
Homepage |
ECSSD, DUT-OMRON, HKU-IS, and MSO datasets. |
Two-thirds of the chosen images contain multiple occluded salient object instances while the remaining one-third consists of images with no salient regions, a single salient object instance or multiple salient instances without occlusion. Totally 1000 images, 500 for training, 200 for validation, and 300 for testing. |
| XPIE |
What is and what is not a salient object? learning salient object detector by ensembling linear exemplar regressors, CVPR 2017. |
Homepage |
Panoramio, ImageNet, and two fixation datasets. |
10000 images. |
| SOC |
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground, ECCV 2018. |
Homepage |
MSCOCO |
6K images(3.6K for training, 1.2K for validation, 1.2K for testing). Accurate and clear boundary label. instance-level segmentation. Visual attributes for result evaluation. |
| SOS |
Salient Object Subitizing, CVPR 2015. |
Homepage |
6900images in total. 2064 from the COCO, 2141 from the VOC07, 1610 from the ImageNet, 1085 from the SUN. |
This dataset is built for predicting the existence and the number of salient objects in a scene. MSO is a subset of SOS, which is used for testing purpose. |
| BSDS |
A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics, ICCV 2001. |
Homepage |
Unknown |
Original version: 200 training images, 100 testing images. Extented version: 200 test images were added. |