Here we show side-by-side comparisons of our Mechanical Turk-based ground truth annotations and our saliency-based heuristic annotations. To compute ground truth, we score each line based on the percentage of worker annotations that included that line. Lines with scores over 40% are included in the ground truth annotations. To compute the heuristic annotation, we do a weighted sum of saliency scores near each line. Lines with the top three scores are selected for the annotation, see paper for details.

Download annotation data, Mechanical Turk task code, and analysis scripts here.

Images from MIRFLICKR-25000 dataset.