Mumbai Slum Segmentation

Published on Nov 22, 2018 | By | Permalink

We developed a Deep Learning solution to the problem of slum mapping and monitoring in Mumbai.

We curated a custom dataset of slums from Google Earth and using data from the Slum Rehabilitation Authority of India.

Trained an instance segmentation model (Mask R-CNN) on this dataset to identify and segment slums in satellite imagery. Our work will be published in the NIPS 2018 ML4D workshop.

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