DUTS is a saliency detection dataset containing 10,553 training images and 5,019 test images. All training images are collected from the ImageNet DET training/val sets, while test images are collected from the ImageNet DET test set and the SUN data set. Both the training and test set contain very challenging scenarios for saliency detection. Accurate pixel-level ground truths are manually annotated by 50 subjects.
Source: http://saliencydetection.net/duts/
Image Source: https://ieeexplore.ieee.org/document/8099887
Variants: DUTS-test, DUTS-TE, DUTS
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Unsupervised Object Segmentation | DeepCut | DeepCut: Unsupervised Segmentation using Graph … | 2022-12-12 |
Recent papers with results on this dataset: