Saliency-dataset-evaluation

This repo can compute the ratio of obj.area and obj.contrast on binary saliency dataset. This Toolbox contains two evaluation metrics, including obj(object).area and obj.contrast.

Note:

• obj.area: the mean ratio of foreground into masks on dataset.
• obj.contrast: the mean value of color contrast for all RGB image.

Citation

@article{Saliency-dataset-evaluation,
    Author = {Wei Ji},
    Title = {Evaluation Toolbox for Salient Detection Dataset.},
    Journal = {https://github.com/jiwei0921/Saliency-dataset-evaluation/},
    Year = {2019}
}

Requirement

• MATLAB

Compute obj.area or obj.contrast

1. Set the path of dataset in (comput_fore_area_ratio) / contrast_value.m
2. run .m file

Note: there are two methods to compute obj.contrast. (4-near neighbor and 8-near neighbor)

Saliency maps evaluation

This link near all evaluation metrics for salient object detection including E-measure, S-measure, F-measure, MAE scores and PR curves or bar metrics. The link is here.

Related Citation

@article{Saliency-Evaluation-Toolbox,
    Author = {Wei Ji},
    Title = {Evaluation Toolbox for Salient Object Detection.},
    Journal = {https://github.com/jiwei0921/Saliency-Evaluation-Toolbox/},
    Year = {2019}
}