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BigEarthNet-MM
A large-scale benchmark archive for remote sensing image classification and retrieval. -
DeepGlobe-ML
The dataset used in this paper for multi-label remote sensing image classification. -
So2Sat LCZ42
The So2Sat LCZ42 dataset is a benchmark dataset for global local climate zones classification from Sentinel-2 images. -
UC Merced Land Use Dataset
UC Merced Land Use Dataset (Yang & Newsam, 2010) contains remote sensing satellite images of 21 classes, with 100 images in each class. -
BigEarthNet-S2
BigEarthNet-S2 is a large-scale benchmark archive for remote sensing image classification and retrieval. -
IRX-1D: A Simple Deep Learning Architecture for Remote Sensing Classifications
Four remote sensing datasets were used for classification with both small and large training samples. -
BigEarthNet
BigEarthNet is a large-scale Sentinel-2 dataset collected from a total of 125 Sentinel-2 tiles covering areas of 10 countries in Europe. The dataset was prepared with data from... -
PatternNet, RSICD, RESISC45, MLRSNet, EuroSat
The dataset used in the paper is a remote sensing image classification dataset, which includes five optical remote sensing (RS) image classification benchmarks. -
UCMerced land use dataset
UCMerced land use dataset for remote sensing image scene classification