Optical remote sensing salient object detection datasets

Citation Author(s):
Bocheng
Liang
Submitted by:
Bocheng Liang
Last updated:
Wed, 04/16/2025 - 08:00
DOI:
10.21227/fn4d-rv94
License:
0
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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.