Method overview
| challenge |
pixel-level semantic labeling |
| used Cityscapes data |
fine annotations |
| used external data |
ImageNet, Mapillary |
| runtime |
n/a |
| subsampling |
no |
Average results
| Metric |
Value |
| IoU Classes | 85.2055 |
| iIoU Classes | 68.2575 |
| IoU Categories | 92.8165 |
| iIoU Categories | 83.4203 |
Class results
| Class |
IoU |
iIoU |
| road | 98.8827 | - |
| sidewalk | 88.4947 | - |
| building | 94.4966 | - |
| wall | 66.745 | - |
| fence | 70.2345 | - |
| pole | 74.5308 | - |
| traffic light | 80.1767 | - |
| traffic sign | 83.5873 | - |
| vegetation | 94.3988 | - |
| terrain | 73.7165 | - |
| sky | 96.1833 | - |
| person | 89.674 | 75.8518 |
| rider | 79.0404 | 58.9152 |
| car | 96.6793 | 91.497 |
| truck | 85.5161 | 54.622 |
| bus | 94.4201 | 68.165 |
| train | 90.4794 | 66.7375 |
| motorcycle | 79.8667 | 60.3947 |
| bicycle | 81.7815 | 69.8768 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.7941 | - |
| nature | 94.0184 | - |
| object | 79.6169 | - |
| sky | 96.1833 | - |
| construction | 94.8586 | - |
| human | 89.8844 | 76.6379 |
| vehicle | 96.3597 | 90.2027 |
Links
Download results as .csv file
Benchmark page