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 | 61.1674 |
| iIoU Classes | 35.5341 |
| IoU Categories | 84.7032 |
| iIoU Categories | 70.4901 |
Class results
| Class |
IoU |
iIoU |
| road | 94.5098 | - |
| sidewalk | 61.1381 | - |
| building | 88.7523 | - |
| wall | 40.6793 | - |
| fence | 33.9283 | - |
| pole | 46.7906 | - |
| traffic light | 56.8568 | - |
| traffic sign | 37.1549 | - |
| vegetation | 91.3352 | - |
| terrain | 56.4403 | - |
| sky | 94.8339 | - |
| person | 78.6132 | 57.8964 |
| rider | 54.9666 | 25.0838 |
| car | 92.1178 | 84.6756 |
| truck | 44.1562 | 21.6821 |
| bus | 44.3605 | 27.4448 |
| train | 43.9146 | 14.4332 |
| motorcycle | 54.6741 | 28.6069 |
| bicycle | 46.9586 | 24.45 |
Category results
| Category |
IoU |
iIoU |
| flat | 97.52 | - |
| nature | 90.254 | - |
| object | 49.4639 | - |
| sky | 94.8339 | - |
| construction | 89.5754 | - |
| human | 80.1813 | 59.8371 |
| vehicle | 91.0936 | 81.1432 |
Links
Download results as .csv file
Benchmark page
