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Datasets:
MortenTabaka
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LandCover-Aerial-Imagery-for-semantic-segmentation

Tasks:
Image Segmentation
Modalities:
Image
Text
Formats:
imagefolder
Size:
10K - 100K
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LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial Imagery

My project based on the dataset, can be found on Github: https://github.com/MortenTabaka/Semantic-segmentation-of-LandCover.ai-dataset

The dataset used in this project is the Landcover.ai Dataset, which was originally published with LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial Imagery paper also accessible on PapersWithCode.

Please note that I am not the author or owner of this dataset, and I am using it under the terms of the license specified by the original author. All credits for the dataset go to the original author and contributors.

license: cc-by-nc-sa-4.0

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Models trained or fine-tuned on MortenTabaka/LandCover-Aerial-Imagery-for-semantic-segmentation