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 | 82.0923 |
| iIoU Classes | 62.1944 |
| IoU Categories | 91.9537 |
| iIoU Categories | 81.157 |
Class results
| Class |
IoU |
iIoU |
| road | 98.8433 | - |
| sidewalk | 88.0083 | - |
| building | 93.9228 | - |
| wall | 60.526 | - |
| fence | 63.3308 | - |
| pole | 71.2508 | - |
| traffic light | 78.1123 | - |
| traffic sign | 81.3129 | - |
| vegetation | 94.0438 | - |
| terrain | 72.8905 | - |
| sky | 96.0918 | - |
| person | 87.8972 | 71.3994 |
| rider | 74.4754 | 54.7371 |
| car | 96.4582 | 91.6049 |
| truck | 76.9925 | 46.1673 |
| bus | 88.0295 | 60.5 |
| train | 85.8806 | 57.0095 |
| motorcycle | 72.6796 | 50.5946 |
| bicycle | 79.0076 | 65.5425 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.7779 | - |
| nature | 93.7127 | - |
| object | 76.7702 | - |
| sky | 96.0918 | - |
| construction | 94.2231 | - |
| human | 88.0922 | 72.4296 |
| vehicle | 96.0079 | 89.8844 |
Links
Download results as .csv file
Benchmark page
