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Zurich Summer dataset
The Zurich Summer dataset is a benchmark for semantic segmentation in remote sensing. It contains aerial images with 8 urban classes. -
Vaihingen dataset
The Vaihingen dataset consists of 1440 scenes with a size of 250×250 pixels. Each scene is a colour-infrared (CIR) true orthophoto and a height grid (digital surface model; DSM)... -
Gaofen Image Dataset (GID)
A dataset for semantic segmentation of high-resolution remote sensing images. -
ISPRS Potsdam dataset
A benchmark dataset for semantic segmentation of high-resolution remote sensing images. -
LoveDA Urban
Semantic segmentation of remote sensing imagery generally revolves two primary approaches: pixel-based and object-based methods. -
ISPRS Vaihingen
The ISPRS Vaihingen dataset consists of remotely sensed imagery with a spatial resolution of 9 centimeters, and includes 6 semantic classes.