Datasets:
The dataset viewer is not available for this dataset.
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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, grayscaleL).
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).
- Downloads last month
- 9