Model Architecture | Dice Loss | Building Precision | Building Recall | IOU | Accuracy | |||||
Single | Multi | Single | Multi | Single | Multi | Single | Multi | Single | Multi | |
UNet | 0.165 | 0.167 | 0.664 | 0.681 | 0.621 | 0.702 | 0.629 | 0.650 | 0.851 | 0.852 |
UNet++ | 0.163 | 0.167 | 0.651 | 0.695 | 0.617 | 0.721 | 0.625 | 0.638 | 0.834 | 0.856 |
DeepLabV3 | 0.165 | 0.175 | 0.597 | 0.673 | 0.524 | 0.699 | 0.636 | 0.579 | 0.874 | 0.851 |
DeepLabv3+ | 0.172 | 0.174 | 0.601 | 0.678 | 0.553 | 0.679 | 0.644 | 0.658 | 0.820 | 0.850 |