Method overview
| challenge |
pixel-level semantic labeling |
| used Cityscapes data |
fine annotations |
| used external data |
ImageNet |
| runtime |
n/a |
| subsampling |
no |
Average results
| Metric |
Value |
| IoU Classes | 80.3845 |
| iIoU Classes | 59.2538 |
| IoU Categories | 91.2991 |
| iIoU Categories | 79.8867 |
Class results
| Class |
IoU |
iIoU |
| road | 98.7148 | - |
| sidewalk | 87.1529 | - |
| building | 93.3804 | - |
| wall | 54.7796 | - |
| fence | 61.8802 | - |
| pole | 68.6133 | - |
| traffic light | 76.6769 | - |
| traffic sign | 79.2531 | - |
| vegetation | 93.7314 | - |
| terrain | 72.9297 | - |
| sky | 95.7355 | - |
| person | 86.832 | 70.6063 |
| rider | 72.9518 | 52.0675 |
| car | 96.1349 | 89.4915 |
| truck | 73.197 | 40.9883 |
| bus | 85.7567 | 54.1124 |
| train | 81.2024 | 51.6437 |
| motorcycle | 71.2629 | 50.6953 |
| bicycle | 77.1193 | 64.4257 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.743 | - |
| nature | 93.4768 | - |
| object | 74.5596 | - |
| sky | 95.7355 | - |
| construction | 93.8804 | - |
| human | 87.0752 | 71.9118 |
| vehicle | 95.6233 | 87.8617 |
Links
Download results as .csv file
Benchmark page
