DeepGlobe Land Cover Classification Dataset

Automatic categorization and segmentation of land cover is of great importance for sustainable development, autonomous agriculture, and urban planning. DeepGlobe Land Cover Classification Challenge introduces the challenge of automatic classification of land cover types. This problem is defined as a multi-class segmentation task to detect areas of urban, agriculture, rangeland, forest, water, barren, and unknown.