imharrisonking/rooftop-segmentation
Instance segmentation deep learning model built using PyTorch and fastai to classify rooftops and calculate their solar PV potential.
This tool helps urban planners, solar energy analysts, and environmental researchers automatically identify and outline building rooftops in satellite imagery. You provide satellite images and existing building footprint data, and it outputs precise building outlines from new satellite images. This is ideal for professionals assessing solar energy potential or urban development.
No commits in the last 6 months.
Use this if you need to precisely identify building rooftops from satellite images to calculate their solar photovoltaic (PV) potential or map urban structures.
Not ideal if you're looking for a simple, off-the-shelf application; this project requires some technical setup and familiarity with data processing workflows.
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14
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jun 14, 2024
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