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 | 47.818 |
| iIoU Classes | 32.0115 |
| IoU Categories | 82.8217 |
| iIoU Categories | 70.6493 |
Class results
| Class |
IoU |
iIoU |
| road | 88.9079 | - |
| sidewalk | 46.1498 | - |
| building | 85.3941 | - |
| wall | 11.6352 | - |
| fence | 1.73902 | - |
| pole | 50.6648 | - |
| traffic light | 61.348 | - |
| traffic sign | 38.8152 | - |
| vegetation | 88.3847 | - |
| terrain | 0 | - |
| sky | 93.6549 | - |
| person | 74.3815 | 61.8962 |
| rider | 30.0324 | 21.4497 |
| car | 89.5557 | 79.7451 |
| truck | 0 | 0 |
| bus | 49.3627 | 33.4641 |
| train | 0 | 0 |
| motorcycle | 49.3002 | 26.9913 |
| bicycle | 49.2167 | 32.5461 |
Category results
| Category |
IoU |
iIoU |
| flat | 96.0855 | - |
| nature | 87.1388 | - |
| object | 51.6763 | - |
| sky | 93.6549 | - |
| construction | 87.8364 | - |
| human | 77.2964 | 64.9615 |
| vehicle | 86.0638 | 76.337 |
Links
Download results as .csv file
Benchmark page
