A test dataset for underwater salient object detection (SOD).
- Paper: https://arxiv.org/pdf/2011.06252.pdf
- Project page: http://irvlab.cs.umn.edu/visual-attention-modeling/svam
- Evaluation: https://github.com/xahidbuffon/SOD-Evaluation-Tool-Python
Folder Structure:
- images/ contains 300 images (640 x 480)
- masks/ contains corresponding ground truth labels
Evaluation data
- eval_data/ contains test-set results of SOTA methods for
- underwater SOD models
- USOD dataset,
- SUIM dataset, and
- UFO-120 dataset.
- terrestrial SOD models
- PASCAL-S dataset.
- other results: https://github.com/wenguanwang/SODsurvey