Method overview
| challenge |
pixel-level semantic labeling |
| used Cityscapes data |
fine annotations |
| used external data |
|
| runtime |
n/a |
| subsampling |
no |
Average results
| Metric |
Value |
| IoU Classes | 82.3358 |
| iIoU Classes | 62.3838 |
| IoU Categories | 92.0366 |
| iIoU Categories | 82.4816 |
Class results
| Class |
IoU |
iIoU |
| road | 98.734 | - |
| sidewalk | 87.3388 | - |
| building | 93.7652 | - |
| wall | 58.7746 | - |
| fence | 64.1691 | - |
| pole | 71.9261 | - |
| traffic light | 79.0392 | - |
| traffic sign | 81.9654 | - |
| vegetation | 94.0003 | - |
| terrain | 73.7415 | - |
| sky | 95.7615 | - |
| person | 88.0944 | 74.2664 |
| rider | 74.6738 | 54.638 |
| car | 96.3851 | 91.3006 |
| truck | 75.4854 | 44.0211 |
| bus | 89.8437 | 56.4453 |
| train | 90.679 | 59.968 |
| motorcycle | 71.4328 | 51.112 |
| bicycle | 78.5698 | 67.3192 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.7924 | - |
| nature | 93.7567 | - |
| object | 77.4737 | - |
| sky | 95.7615 | - |
| construction | 94.2306 | - |
| human | 88.2043 | 75.3013 |
| vehicle | 96.0369 | 89.6619 |
Links
Download results as .csv file
Benchmark page
