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.
Geoinformation Service Research Team, Digital Architecture Research Center, National Institute of Advanced Industrial Science and Technology
Custom License https://github.com/gistairc/HS-SOD/blob/master/LICENSE.md
|First Publication Date :||Tue, 05 Jun 2018 JST|