Dataset
HyperSpectral Salient Object Detection Dataset (HS-SOD)
This is a hyperspectral salient object detection dataset with a collection of 60 hyperspectral images with their respective ground-truth binary images and representative rendered colour images (sRGB). We took several aspects in consideration during the data collection such as variation in object size, number of objects, foreground-background contrast, object position on the image, and etc. We also prepared ground truth binary images for each hyperspectral data, where salient objects are labelled on the images.
Creator : |
Geoinformation Service Research Team, Digital Architecture Research Center, National Institute of Advanced Industrial Science and Technology
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License : |
Custom License
https://github.com/gistairc/HS-SOD/blob/master/LICENSE.md
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First Publication Date : | Tue, 05 Jun 2018 JST |
Citation : |
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