Consists of 36,785 images belonging to a diverse 92 classes. This class count is significantly higher than publicly available datasets. Maintains a low-class imbalance and a highly comprehensive data distribution for robust model training. It also provides the remote sensing community with an extra platform to validate the performance on multiple benchmarks.
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