Datasets › ReDWeb-S

ReDWeb-S

Introduced by Nian Liu et al. in Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection archive 2025-07-28

ReDWeb-S is a large-scale challenging dataset for Salient Object Detection. It has totally 3179 images with various real-world scenes and high-quality depth maps. The dataset is split into a training set with 2179 RGB-D image pairs and a testing set with the remaining 1000 image pairs.

Source: https://github.com/nnizhang/SMAC Image Source: https://github.com/nnizhang/SMAC

Homepage JSON

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 9 papers for it but never published that list.

Dataset loaders archive 2025-07-28

nnizhang/SMAC

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Object Detection Saliency Detection RGB-D Salient Object Detection

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

ReDWeb-S

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections