Method overview
| challenge |
pixel-level semantic labeling |
| used Cityscapes data |
fine annotations, coarse annotations |
| used external data |
ImageNet, Mapillary |
| runtime |
n/a |
| subsampling |
no |
Average results
| Metric |
Value |
| IoU Classes | 83.1703 |
| iIoU Classes | 62.625 |
| IoU Categories | 92.067 |
| iIoU Categories | 80.662 |
Class results
| Class |
IoU |
iIoU |
| road | 98.8312 | - |
| sidewalk | 87.9859 | - |
| building | 94.1956 | - |
| wall | 66.5642 | - |
| fence | 64.814 | - |
| pole | 72.0216 | - |
| traffic light | 78.1983 | - |
| traffic sign | 81.4281 | - |
| vegetation | 94.1574 | - |
| terrain | 74.4767 | - |
| sky | 96.0846 | - |
| person | 88.0757 | 70.6074 |
| rider | 75.6363 | 55.1073 |
| car | 96.5138 | 91.7535 |
| truck | 80.3446 | 47.7202 |
| bus | 93.1892 | 61.1293 |
| train | 86.5642 | 56.1707 |
| motorcycle | 72.4761 | 53.1504 |
| bicycle | 78.678 | 65.3613 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.8044 | - |
| nature | 93.8363 | - |
| object | 77.3083 | - |
| sky | 96.0846 | - |
| construction | 94.3179 | - |
| human | 87.9974 | 71.4354 |
| vehicle | 96.1202 | 89.8887 |
Links
Download results as .csv file
Benchmark page
