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 | 71.8615 |
| iIoU Classes | 42.1187 |
| IoU Categories | 86.3939 |
| iIoU Categories | 68.2637 |
Class results
| Class |
IoU |
iIoU |
| road | 98.2732 | - |
| sidewalk | 83.3961 | - |
| building | 90.4036 | - |
| wall | 43.3606 | - |
| fence | 48.0204 | - |
| pole | 50.4534 | - |
| traffic light | 61.0127 | - |
| traffic sign | 66.6469 | - |
| vegetation | 91.3668 | - |
| terrain | 68.5699 | - |
| sky | 93.9651 | - |
| person | 78.3376 | 52.8325 |
| rider | 62.1606 | 33.2352 |
| car | 94.2999 | 84.9103 |
| truck | 69.1044 | 26.4081 |
| bus | 78.2684 | 36.6851 |
| train | 65.1218 | 30.9396 |
| motorcycle | 55.7172 | 26.7714 |
| bicycle | 66.8901 | 45.1677 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.2991 | - |
| nature | 90.9918 | - |
| object | 58.5599 | - |
| sky | 93.9651 | - |
| construction | 90.8889 | - |
| human | 78.6039 | 54.2395 |
| vehicle | 93.4488 | 82.288 |
Links
Download results as .csv file
Benchmark page
