ayushdabra/dubai-satellite-imagery-segmentation
Multi-Class Semantic Segmentation on Dubai's Satellite Images.
This project helps urban planners, environmental analysts, and city management with mapping and understanding land use from satellite images. It takes raw satellite imagery of an area, processes it, and outputs a detailed map where each pixel is classified into categories like buildings, roads, vegetation, land, and water. This allows for rapid analysis of urban development, natural landscapes, and infrastructure.
No commits in the last 6 months.
Use this if you need to automatically identify and categorize different features like buildings, roads, and green spaces from aerial or satellite photographs for geographical analysis or urban planning.
Not ideal if your primary goal is to detect individual objects rather than broadly segmenting areas, or if you require real-time analysis of constantly changing environments.
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87
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Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Mar 07, 2023
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