Title
Image dataset for testing search and detection models
Author
Toet, A.
Bijl, P.
Valeton, J.M.
Publication year
2001
Abstract
The TNO Human Factors Searchû2 image dataset consists of: a set of 44 high-resolution digital color images of different complex natural scenes, the ground truth corresponding to each of these scenes, and the results of psychophysical experiments on each of these images. The images in the Searchû2 dataset are a subset of a larger set that has been used in a visual search and detection experiment. Each scene (image) contains a single military vehicle that serves as a search target. The image dataset, an Excel file with the ground truth and observer data, and an extensive report describing the dataset are available on CD-ROM (requests by email to the first author). The dataset can be used to develop and validate digital metrics that compute the visual distinctness (contrast, conspicuity, or saliency) of targets in complex scenes, and models of human visual search and detection. The dataset has already been used in more than ten different studies in the literature, ranging from studies evaluating target detectability metrics to eye movement studies and attempts to model the human visual system. In addition to this work, eight other articles in this special section address the Searchû2 dataset.
Subject
Conspicuity
Psychophysics
Search_2 dataset
Visual search
Database systems
Military vehicles
Optical image storage
Psychophysiology
Digital metrics
Image datasets
Color image processing
Target detection
Search
Military
To reference this document use:
http://resolver.tudelft.nl/uuid:ab88c63b-8109-4402-9e86-474eae857a0f
DOI
https://doi.org/10.1117/1.1388608
TNO identifier
10979
Source
Optical Engineering, 40 (40), 1760-1767
Document type
article