Datasets:

tferhan
/

Buildings_mask_morocco

Tasks:

Mask Generation

Image Segmentation

Feature Extraction

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Dataset card Data Studio Files Files and versions

tferhan commited on 18 days ago

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 This dataset contains over 1 million building segmentation masks across Morocco, generated using the SAM3 mask generation model developed by Meta AI.
-The masks were inferred from high-resolution Esri imagery (512×512 tiles at zoom level 17), covering approximately 57,000 tiles. All outputs are georeferenced and ready for download, visualization, and analysis.
 Each mask includes an associated confidence score to support quality assessment and filtering for downstream tasks.

 This dataset contains over 1 million building segmentation masks across Morocco, generated using the SAM3 mask generation model developed by Meta AI.
+The masks were inferred from high-resolution satellite imagery (512×512 tiles at zoom level 17), covering approximately 57,000 tiles. All outputs are georeferenced and ready for download, visualization, and analysis.
 Each mask includes an associated confidence score to support quality assessment and filtering for downstream tasks.