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 | 83.6389 |
| iIoU Classes | 65.0129 |
| IoU Categories | 91.8707 |
| iIoU Categories | 82.4741 |
Class results
| Class |
IoU |
iIoU |
| road | 98.7856 | - |
| sidewalk | 87.9505 | - |
| building | 94.1501 | - |
| wall | 66.0463 | - |
| fence | 66.0985 | - |
| pole | 72.2417 | - |
| traffic light | 78.7213 | - |
| traffic sign | 82.7204 | - |
| vegetation | 94.1726 | - |
| terrain | 73.9007 | - |
| sky | 94.0262 | - |
| person | 88.2358 | 74.6373 |
| rider | 75.1175 | 56.9736 |
| car | 96.4795 | 91.2188 |
| truck | 82.6244 | 46.1493 |
| bus | 94.0975 | 61.5398 |
| train | 90.883 | 65.2694 |
| motorcycle | 73.6103 | 55.6609 |
| bicycle | 79.2777 | 68.6541 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.7589 | - |
| nature | 93.8133 | - |
| object | 77.7283 | - |
| sky | 94.0262 | - |
| construction | 94.3632 | - |
| human | 88.3295 | 75.4401 |
| vehicle | 96.0753 | 89.5081 |
Links
Download results as .csv file
Benchmark page
