geoai4cities/Mumbai-Semantic-Segmentation-Dataset
Manually Annotated High Resolution Satellite Image Dataset of Mumbai for Semantic Segmentation
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.
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Apr 07, 2023
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