Method overview
| challenge |
pixel-level semantic labeling |
| used Cityscapes data |
fine annotations, coarse annotations |
| used external data |
|
| runtime |
n/a |
| subsampling |
no |
Average results
| Metric |
Value |
| IoU Classes | 84.7203 |
| iIoU Classes | 68.4453 |
| IoU Categories | 92.9372 |
| iIoU Categories | 84.2829 |
Class results
| Class |
IoU |
iIoU |
| road | 98.9383 | - |
| sidewalk | 89.1336 | - |
| building | 94.7428 | - |
| wall | 70.8278 | - |
| fence | 67.3797 | - |
| pole | 75.4731 | - |
| traffic light | 81.7913 | - |
| traffic sign | 84.8139 | - |
| vegetation | 94.3532 | - |
| terrain | 74.4036 | - |
| sky | 96.1855 | - |
| person | 89.5055 | 76.3341 |
| rider | 78.7167 | 61.9068 |
| car | 96.8671 | 92.3953 |
| truck | 79.8323 | 56.2092 |
| bus | 92.8322 | 67.962 |
| train | 86.9675 | 61.9653 |
| motorcycle | 76.1755 | 60.1186 |
| bicycle | 80.7452 | 70.6712 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.8691 | - |
| nature | 94.0998 | - |
| object | 80.4948 | - |
| sky | 96.1855 | - |
| construction | 94.7773 | - |
| human | 89.6142 | 77.3421 |
| vehicle | 96.5199 | 91.2236 |
Links
Download results as .csv file
Benchmark page
