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RGB Salient Object Detection datasets
archive 2025-07-28
17 datasets carry the task tag "RGB Salient Object Detection" (the task itself: RGB Salient Object Detection), ordered by the archive's paper count. Page 1 of 1: 17 shown of 17. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
RGB Salient Object Detection datasets 1–17 of 17
DUTS is a saliency detection dataset containing 10,553 training images and 5,019 test images.
286 papers · 5 benchmarks
PASCAL-S is a dataset for salient object detection consisting of a set of 850 images from PASCAL VOC 2010 validation set with multiple salient objects on the scenes.
271 papers · 3 benchmarks
HKU-IS is a visual saliency prediction dataset which contains 4447 challenging images, most of which have either low contrast or multiple salient objects.
226 papers · 3 benchmarks
The DUT-OMRON dataset is used for evaluation of Salient Object Detection task and it contains 5,168 high quality images.
214 papers · 4 benchmarks
The Image Shadow Triplets dataset (ISTD) is a dataset for shadow understanding that contains 1870 image triplets of shadow image, shadow mask, and shadow-free image.
99 papers · 2 benchmarks
ECSSD (Extended Complex Scene Saliency Dataset)
The Extended Complex Scene Saliency Dataset (ECSSD) is comprised of complex scenes, presenting textures and structures common to real-world images.
34 papers · 5 benchmarks
SOC (Salient Objects in Clutter)
SOC (Salient Objects in Clutter) is a dataset for Salient Object Detection (SOD).
31 papers · 1 benchmark
Includes 5000 spatially aligned RGBT image pairs with ground truth annotations.
29 papers · 0 benchmarks
SBU-Kinect-Interaction dataset version 2.0 comprises of RGB-D video sequences of humans performing interaction activities that are recording using the Microsoft Kinect sensor.
28 papers · 4 benchmarks
HRSOD (High-Resolution Salient Object Detection)
There exist several datasets for saliency detection, but none of them is specifically designed for high-resolution salient object detection.
23 papers · 1 benchmark
To enrich the diversity, we also collect 92 images which are suitable for saliency detection from DAVIS [27], a densely annotated high-resolution video segmentation dataset.
10 papers · 1 benchmark
HS-SOD (HyperSpectral Salient Object Detection Dataset)
HS-SOD is a hyperspectral salient object detection dataset with a collection of 60 hyperspectral images with their respective ground-truth binary images and representative rendered colour images (sRGB).
8 papers · 0 benchmarks
SOD (small obstacle detection)
Aiming Detect small obstacles, like lost and found.
8 papers · 2 benchmarks
UHRSD (Ultra High-Resolution Saliency Detection Dataset)
Recent salient object detection (SOD) methods based on deep neural network have achieved remarkable performance.
7 papers · 1 benchmark
360-SOD contains 500 high-resolution equirectangular images.
2 papers · 0 benchmarks
A salient object subitizing image dataset of about 14K everyday images which are annotated using an online crowdsourcing marketplace.
2 papers · 0 benchmarks
A small-scale training set, which only contains 4K images.
1 paper · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.