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 | 80.4637 |
| iIoU Classes | 60.5366 |
| IoU Categories | 91.75 |
| iIoU Categories | 81.3518 |
Class results
| Class |
IoU |
iIoU |
| road | 98.705 | - |
| sidewalk | 87.1643 | - |
| building | 93.309 | - |
| wall | 52.0575 | - |
| fence | 60.2907 | - |
| pole | 71.4127 | - |
| traffic light | 78.5365 | - |
| traffic sign | 81.1227 | - |
| vegetation | 93.6159 | - |
| terrain | 73.6497 | - |
| sky | 95.6389 | - |
| person | 87.8036 | 72.3598 |
| rider | 72.1466 | 53.2167 |
| car | 96.2854 | 90.8082 |
| truck | 74.6974 | 42.2184 |
| bus | 84.5989 | 52.7655 |
| train | 78.7943 | 55.9648 |
| motorcycle | 70.7932 | 50.8573 |
| bicycle | 78.1883 | 66.1022 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.7614 | - |
| nature | 93.3652 | - |
| object | 76.9049 | - |
| sky | 95.6389 | - |
| construction | 93.755 | - |
| human | 88.0674 | 73.5815 |
| vehicle | 95.7573 | 89.1221 |
Links
Download results as .csv file
Benchmark page
