"What do saliency models predict?" Koehler, Guo, Zhang, Eckstein, Journal of Vision, 2014

Published: 27-08-2020| Version 1 | DOI: 10.17632/8rj98pp6km.1
Miguel Eckstein


Description of this data This data repository contains: 800 Images, observer fixations for three tasks (free search, saliency search, object search) for 19-22 subjects for the same 800 images. In addition, the data set includes explicit judgments of saliency for the 800 images (100 individuals). See paper for more details. https://jov.arvojournals.org/article.aspx?articleid=2121547&resultClick=1 If you use this data, please cite: "What do saliency models predict?" Koehler, Guo, Zhang, Eckstein, Journal of Vision, 2014, 14(2) DOI: 10.11 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Contact info: Katie Koehler (koehler.kathryn@gmail.com) Miguel Eckstein (eckstein@psych.ucsb.edu) Contents of folder: Cues (folder): Images with the cue names for the object search task embedded into a mid-level grey background. Cued objects are absent in images 1-400 and present in images 401-800. _Left and _Right suffixes indicate the expected location of the object based on the context in the image (either on the left half or right half of the image). Odd numbered images contain expected object locations on the left half, even on right. Cues (text file): text file with all cues and image numbers listed on a separate line. Same as cues embedded in images in Cues folder (in case you prefer to generate the cue text yourself in an experiment). Images: 405x405px experimental images (used for all tasks). ObserverData.mat: Matlab file containing all experimental data (explicit judgments and eye movements) in the form of image coordinates. Variables in this file: explicit_judg: matrix containing click locations for each observer in the explicit judgment task. rows index different observers, columns index different images, 3rd dim=coords (x=1, y=2) freeview_x/y, objsearch_x/y, salview_x/y: eye movements locations for each eye movement task. Rows index different observers, columns index different images, 3rd dim indexes eye movement number within a single trial. x- and y-coordinates are recorded in separate matrices as labeled. All text files are labeled by task and contain the same information as the matlab file, along with observer number, image number, and fixation number (in the case of eye movement data). %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Notes about individual images: The resolution and content of each image varies. Depending on your purpose, the factors listed below may prompt you to exclude a few images from use. If you have recommendations for information to include about specific images, please notify the researchers (contact info listed above). Images with disrupted aspect ratios: Image 35 Image 64 Image 184 Image 427 Images with noticable artifacts/pixelation: Image 97 Image 108 Image 184 Image 195 Image 234 Image 251 Image 545 Images with highly sparse content (repetitive background with no clear standout region or foreground object): Image 55 Image 79 Image 92 Image 97 Image 144 Image 147 Image 153 Image 182 Image 232 Image 520