---
license: cc-by-nc-4.0
pretty_name: DUT-OMRON
task_categories:
- image-segmentation
tags:
- saliency
- salient-object-detection
size_categories:
- 1K<n<10K
---

# DUT-OMRON

The **DUT-OMRON** dataset is a widely used benchmark for salient object
detection / saliency prediction. It contains 5,168 high-quality natural images,
each paired with pixelwise ground-truth saliency masks.

- `image`: the source photograph (JPEG, RGB).
- `mask`: the pixelwise binary ground-truth saliency mask (PNG, grayscale `L`).

Images and masks are matched by filename stem. This release provides a single
`test` split (the dataset is a single benchmark set).

## Source & credit

Data from the DUT-OMRON dataset, distributed at
<https://saliencydetection.net/dut-omron/>. All credit to the original authors.
If you use this dataset, please cite the original DUT-OMRON paper:

> C. Yang, L. Zhang, H. Lu, X. Ruan, M.-H. Yang. "Saliency Detection via
> Graph-Based Manifold Ranking." CVPR 2013.

## License

Provided for academic / research use. No explicit SPDX license is stated by the
source; distributed here under `cc-by-nc-4.0` (non-commercial).