Model Architecture | Dice Loss | Building Precision | Building Recall | IOU | Accuracy | |||||
Single | Multi | Single | Multi | Single | Multi | Single | Multi | Single | Multi | |
UNet | 0.107 | 0.109 | 0.756 | 0.734 | 0.698 | 0.767 | 0.846 | 0.835 | 0.944 | 0.946 |
UNet++ | 0.104 | 0.09 | 0.771 | 0.746 | 0.683 | 0.759 | 0.832 | 0.813 | 0.937 | 0.942 |
DeepLabV3 | 0.098 | 0.095 | 0.795 | 0.822 | 0.620 | 0.678 | 0.814 | 0.810 | 0.932 | 0.939 |
DeepLabV3+ | 0.086 | 0.106 | 0.776 | 0.758 | 0.626 | 0.694 | 0.825 | 0.808 | 0.940 | 0.942 |