RIT-18 Remote Sensing Image Semantic Segmentation Dataset
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RIT-18 is a dataset for semantic segmentation of remote sensing images. The dataset was collected by a Tetracam Micro-MCA6 multispectral imaging sensor mounted on a DJI-1000 octorotor.
The characteristics of this dataset include
- Ultra-high-resolution multispectral imagery from drones
- Six spectral VNIR bands
- Contains a severely imbalanced class distribution, involving 18 object classes (plus background).
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