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Disclaimer

This repository is modified from the code for the the DIUx xView Detection Challenge. The paper is available here.

This repository is created for Automatic Damage Annotation on Post-Hurricane Satellite Imagery, one of three projects from the 2018 Data Science for Social Good summer fellowship at the University of Washington eScience Institute. Two object detection algorithms, [Single Shot MultiBox Detector (SSD)]( SSD: Single Shot MultiBox Detector) and Faster R-CNN were applied to satellite imagery for hurricane Harvey provided by DigitalGlobe Open Data Program and crowd-sourced damaged buildings labels provided by Tomnod.