| --- |
| license: cc-by-4.0 |
| language: |
| - ar |
| - fr |
| - en |
| pretty_name: semantic segmentation buildings morocco |
| task_categories: |
| - mask-generation |
| - image-segmentation |
| - feature-extraction |
| - image-feature-extraction |
| tags: |
| - Morocco |
| - Satellite |
| - Semantic |
| - Segmentation |
| - buildings |
| - mask |
| - SAM3 |
| - Geospatial |
| --- |
| |
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| ## +1 Million Building Segmentation Masks for Morocco |
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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. |
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| 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. |
|
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| Each mask includes an associated confidence score to support quality assessment and filtering for downstream tasks. |
|
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| This dataset is released for open use in training, research, and exploration. |
