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 | 81.8907 |
| iIoU Classes | 63.3222 |
| IoU Categories | 92.2824 |
| iIoU Categories | 83.2125 |
Class results
| Class |
IoU |
iIoU |
| road | 98.8032 | - |
| sidewalk | 87.7015 | - |
| building | 93.7978 | - |
| wall | 55.6697 | - |
| fence | 62.3369 | - |
| pole | 73.0994 | - |
| traffic light | 80.1471 | - |
| traffic sign | 82.6797 | - |
| vegetation | 94.0499 | - |
| terrain | 73.1461 | - |
| sky | 95.8114 | - |
| person | 88.7295 | 75.7975 |
| rider | 76.2905 | 56.8838 |
| car | 96.4679 | 91.3011 |
| truck | 72.2109 | 43.9855 |
| bus | 86.5439 | 57.2546 |
| train | 84.7861 | 58.81 |
| motorcycle | 73.8411 | 54.4151 |
| bicycle | 79.81 | 68.1298 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.784 | - |
| nature | 93.7739 | - |
| object | 78.4188 | - |
| sky | 95.8114 | - |
| construction | 94.2641 | - |
| human | 88.8751 | 76.6715 |
| vehicle | 96.0499 | 89.7535 |
Links
Download results as .csv file
Benchmark page
