SALICON Saliency Evaluation

Saliency evaluation codes for SALICON dataset.

Requirements

python 2.7

Files

./

saliconEvalDemo.py (demo script)
image2json.py (converts a folder of saliency maps to result JSON)

./annotation

fixations_val2014.json (SALICON 2014 validation set)
Visit SALICON download page for more details.

./results

fixations_val2014_fake_results.json (an example of fake results for running demo)
Visit SALICON format page for more details.

./saliconeval: The folder where all evaluation codes are stored.

evals.py: The file includes SALICONEval class that can be used to evaluate results on SALICON.
auc: AUC evalutation code
sauc: Shuffled AUC evaluation code
nss: NSS evaluation code
cc: CC evaluation code

References

SALICON: Saliency in Context
Microsoft COCO Captions: Data Collection and Evaluation Server
Metrics code (AUC, Shuffled AUC, NSS and CC) are migrated from the MATLAB code of the [MIT Saliency Benchmark] (http://saliency.mit.edu/)

Developers

Ming Jiang
Shane Huang

Acknowledgement

COCO Consortium