Model Architecture | Dice Loss | Building Precision | Building Recall | IOU | Accuracy | |||||
Single | Multi | Single | Multi | Single | Multi | Single | Multi | Single | Multi | |
UNet | 0.184 | 0.287 | 0.721 | 0.704 | 0.552 | 0.629 | 0.697 | 0.575 | 0.950 | 0.953 |
UNet++ | 0.173 | 0.222 | 0.712 | 0.721 | 0.569 | 0.675 | 0.712 | 0.649 | 0.948 | 0.961 |
DeepLabV3 | 0.190 | 0.230 | 0.757 | 0.735 | 0.528 | 0.654 | 0.677 | 0.637 | 0.947 | 0.960 |
DeepLabv3+ | 0.178 | 0.239 | 0.671 | 0.674 | 0.469 | 0.671 | 0.694 | 0.613 | 0.944 | 0.954 |