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The RSSCN7 Dataset contains 2,800 remote sensing images from seven typical scene categories: grassland, forest, farmland, parking lot, residential area, industrial area, and river and lake. Each category contains 400 images, sampled at four different scales.

The pixel size of each image in this dataset is 400*400. The diversity of scene images makes it very challenging. These images come from different seasons and weather changes and are sampled at different scales.

The RSSCN7 dataset was published by Qin Zou of Wuhan University in 2015.Deep learning based feature selection for remotesensing scene classification》.