A new global remote sensing dataset with 1.8 million vector-annotated instances across 10 land cover classes, spanning 79 regions on six continents, for benchmarking vector-based land cover mapping.
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IRSAMap:Towards Large-Scale, High-Resolution Land Cover Map Vectorization
A new global remote sensing dataset with 1.8 million vector-annotated instances across 10 land cover classes, spanning 79 regions on six continents, for benchmarking vector-based land cover mapping.