metadata

title: building_footprint_segmentation
app_file: demo.py
sdk: gradio
sdk_version: 4.24.0

A U-Net model for segmenting buildings from satellite imagery

A binary segmentation mask (of the same height and width with the input image) should be created The segmentation mask should have a value of 1 at pixels where there is a building and 0 at other pixels.

The figure below showcases the input and output image expected. In the mask pixels that correspond to pixels in the input image are white and background is black.

Data

The data used in this project is sourced from Road and Building Detection Datasets with the following citation:

@phdthesis{MnihThesis,
    author = {Volodymyr Mnih},
    title = {Machine Learning for Aerial Image Labeling},
    school = {University of Toronto},
    year = {2013}
}

For the ease of use, relevant parts of this dataset was sourced from kaggle.com