Datasets:
| 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). | |