Optical remote sensing salient object detection datasets
- Citation Author(s):
-
Bocheng Liang
- Submitted by:
- Bocheng Liang
- Last updated:
- DOI:
- 10.21227/fn4d-rv94
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Abstract
The ORSSD dataset consists of 800 optical remote sensing images with corresponding pixel-level annotations, divided into a training set of 600 images and a test set of 200 images. The EORSSD dataset is an extension of ORSSD, adding 1200 ORSIs for a total of 2000 images, and is split into 1400 training images and 600 test images.
Instructions:
The ORSSD dataset consists of 800 optical remote sensing images with corresponding pixel-level annotations, divided into a training set of 600 images and a test set of 200 images. The EORSSD dataset is an extension of ORSSD, adding 1200 ORSIs for a total of 2000 images, and is split into 1400 training images and 600 test images.
