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PASCAL-S
2D Polygon
Common
|...
License: Unknown

Overview

Our PASCAL-S dataset is built on the validation set of the PASCAL VOC 2010 segmentation challenge.
This subset contains 850 natural images. In the fixation experiment, 8 subjects were instructed
to perform the “freeviewing” task to explore the images. Each image was presented for 2 seconds,
and eye-tracking re-calibration was performed on every 25 images.

Citation

@inproceedings{li2014secrets,
  title={The secrets of salient object segmentation},
  author={Li, Yin and Hou, Xiaodi and Koch, Christof and Rehg, James M and Yuille, Alan L},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={280--287},
  year={2014}
}
Data Summary
Type
Image,
Amount
--
Size
17.72GB
Provided by
Computational Behavioral Science
Computational Behavioral Science: Modeling, Analysis, and Visualization of Social and Communicative Behavior. Our multidisciplinary research team consists of computer scientists, engineers, and psychologists from nine institutions. Our collaborators include major autism research centers in Atlanta, Boston, Pittsburgh, Urbana-Champaign, and Los Angeles.
| Amount -- | Size 17.72GB
PASCAL-S
2D Polygon
Common
License: Unknown

Overview

Our PASCAL-S dataset is built on the validation set of the PASCAL VOC 2010 segmentation challenge.
This subset contains 850 natural images. In the fixation experiment, 8 subjects were instructed
to perform the “freeviewing” task to explore the images. Each image was presented for 2 seconds,
and eye-tracking re-calibration was performed on every 25 images.

Citation

@inproceedings{li2014secrets,
  title={The secrets of salient object segmentation},
  author={Li, Yin and Hou, Xiaodi and Koch, Christof and Rehg, James M and Yuille, Alan L},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={280--287},
  year={2014}
}
0
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