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 | 83.0516 |
| iIoU Classes | 61.4294 |
| IoU Categories | 91.996 |
| iIoU Categories | 81.2445 |
Class results
| Class |
IoU |
iIoU |
| road | 98.8157 | - |
| sidewalk | 87.9584 | - |
| building | 94.1301 | - |
| wall | 66.0674 | - |
| fence | 66.0651 | - |
| pole | 72.2157 | - |
| traffic light | 77.9631 | - |
| traffic sign | 81.6803 | - |
| vegetation | 94.1568 | - |
| terrain | 73.8935 | - |
| sky | 96.0575 | - |
| person | 87.2448 | 71.8281 |
| rider | 72.4769 | 51.9394 |
| car | 96.444 | 91.3158 |
| truck | 82.1839 | 45.924 |
| bus | 93.4462 | 60.6131 |
| train | 88.7875 | 56.7003 |
| motorcycle | 70.6807 | 49.4756 |
| bicycle | 77.7127 | 63.6389 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.7713 | - |
| nature | 93.7993 | - |
| object | 77.5469 | - |
| sky | 96.0575 | - |
| construction | 94.3565 | - |
| human | 87.421 | 73.0137 |
| vehicle | 96.0197 | 89.4753 |
Links
Download results as .csv file
Benchmark page
