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A More Powerful Evaluation Toolbox for Salient Object Detection, I can use **6 key metrics** to evaluate (max F-measure, mean F-measure, weighted F-measure, MAE, S-measure, and E-measure), **draw**, and **export to excel**!

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A More Powerful Evaluation Toolbox for Salient Object Detection

NOTE: A fast and flexible implementation based python: https://github.com/lartpang/PySODMetrics

More details can be found at the origin repository: https://github.com/ArcherFMY/sal_eval_toolbox

This forked repository mainly adds the following new features:

  • More metrics: E-measure and weighted F-measure.
  • Support for drawing according to existing mat files.
  • Support custom threshold to binarize masks. Because the masks of some datasets are not exactly a binary map.

changelos

  • 2020/4/16:
    • tools/ README.md
      • Fixed the description: Plot these value: You can run draw_mat.m draw_twice.m in matlab -> Plot these value: You can run draw_curves.m in matlab
      • Supplement the description of NOTE, about the exported figure.
      • Add a piece of content to HOW TO USE.
    • Delete some useless files.

Cite This Repo

If you find this code useful in your research, please consider citing:

@article{sal_eval_toolbox,
    Author = {Mengyang Feng},
    Title = {Evaluation Toolbox for Salient Object Detection.},
    Journal = {https://github.com/ArcherFMY/sal_eval_toolbox},
    Year = {2018}
}

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A More Powerful Evaluation Toolbox for Salient Object Detection, I can use **6 key metrics** to evaluate (max F-measure, mean F-measure, weighted F-measure, MAE, S-measure, and E-measure), **draw**, and **export to excel**!

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  • MATLAB 100.0%