gicait/centroid-unet
Centroid-UNet is deep neural network model to detect centroids from satellite images.
This helps remote sensing analysts or urban planners quickly count objects in aerial or satellite images. You provide an aerial image, and it outputs the central location (centroid) of each object, like buildings or trees. This is useful when you need to know the number and general position of objects, but not their exact shape.
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Use this if you need to count objects or map their locations from satellite or aerial imagery for applications like urban planning, agricultural monitoring, or environmental assessment.
Not ideal if your task requires precise outlines or detailed segmentation of objects within the images, as it only identifies central points.
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33
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Language
Jupyter Notebook
License
MIT
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Last pushed
Mar 07, 2022
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