Model training

For more technical details on the steps involved in model training and inference, please visit our github wiki.

For each training that we conducted, we were able to view the training loss and precision via the Tensorboard shown below:

Tensorboard output

  1. Satellite RGB Imagery from Digital Globe using Single Shot Detector (SSD)

DamagedUndamaged

groundtruth_test1

groundtruth_test2

  1. Aerial RGB Imagery from NOAA and FEMA

Red bounding boxes indicate damaged buildings and green bounding boxes indicate non-damaged buildings.

NOAApredictions2class

NOAApredictions2class2

Green bounding boxes indicate non-damaged buildings and the other colored bounding boxes indicate damaged buildings of varying degrees.

NOAA5class

NOAA5class2