3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in semantic-segmentation-of-orthoimagery-9
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Use these libraries to find semantic-segmentation-of-orthoimagery-9 models and implementations
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The introduction of LandCover.ai (Land Cover from Aerial Imagery) dataset for semantic segmentation proves that the automatic mapping of land cover is possible with a relatively small, cost-efficient, RGB-only dataset.
Adding a benchmark result helps the community track progress.