The increasing common use of incidental unrectified satellite
images have many applications for mapping of earth. To
demonstrate the semantic segmentation process, we present
proposed solutions along with their evaluation metrics adapted
from fully connected neural networks such as UNet and PSPNet.
UNet architecture based model has outperformed PSPNet based
architecture with overall Mean-IOU score of 0.50 on the test set.