HardevKhandhar/building-segmentation-image-processing
Building Segmentation for Aerial Image Processing using Machine Learning.
This project helps urban planners, land surveyors, or GIS analysts automatically identify and map building structures from aerial photographs. It takes in high-resolution aerial imagery, such as satellite photos, and outputs precise outlines or masks of all buildings within those images. This is ideal for professionals needing to quickly update urban maps or assess development.
No commits in the last 6 months.
Use this if you need to accurately identify building footprints from large sets of aerial or satellite images without manual tracing.
Not ideal if you are working with low-resolution images or require identifying very specific, niche structures beyond general building footprints.
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Last pushed
Aug 29, 2023
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