Datasets:
Search is not available for this dataset
image imagewidth (px) 126 400 | mask imagewidth (px) 126 400 |
|---|---|
End of preview. Expand in Data Studio
DUTS
DUTS is a large-scale saliency detection (salient object detection) dataset. It contains a training set, DUTS-TR (10,553 images), and a test set, DUTS-TE (5,019 images). Each image is paired with a binary ground-truth saliency mask.
Splits
| Split | Source | Rows |
|---|---|---|
| train | DUTS-TR | 10,553 |
| test | DUTS-TE | 5,019 |
Columns
image: the RGB input image (datasets.Image).mask: the ground-truth saliency mask (datasets.Image, single channel).
Image and mask are matched by filename stem.
License
Released for academic / research use. No explicit SPDX license is provided by
the authors; this mirror is published under cc-by-nc-4.0. See
https://saliencydetection.net/duts/ for the original terms.
Credits
Source: https://saliencydetection.net/duts/
Paper: Lijun Wang, Huchuan Lu, Yifan Wang, Mengyang Feng, Dong Wang, Baocai Yin, Xiang Ruan. Learning to Detect Salient Objects with Image-level Supervision. CVPR 2017.
- Downloads last month
- 216