geoai4cities/Mumbai-Semantic-Segmentation-Dataset

Manually Annotated High Resolution Satellite Image Dataset of Mumbai for Semantic Segmentation

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Experimental

This dataset helps urban planners, researchers, and geospatial analysts to automatically identify and map different land cover types in satellite images of Mumbai. It provides high-resolution satellite imagery along with corresponding hand-drawn masks, segmenting the images into categories like built-up areas, vegetation, water, and informal settlements. This data can be used to train and evaluate machine learning models for land use classification.

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Use this if you need a high-quality, manually annotated dataset of diverse urban satellite imagery from Mumbai to develop or test automated land classification systems.

Not ideal if you require satellite imagery or segmentation masks for a different geographic area, or if your analysis focuses on object detection rather than semantic segmentation.

urban-planning geospatial-analysis remote-sensing land-cover-mapping urban-development
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 15 / 25

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Last pushed

Apr 07, 2023

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