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 | 77.064 |
| iIoU Classes | 54.3189 |
| IoU Categories | 90.3992 |
| iIoU Categories | 78.0605 |
Class results
| Class |
IoU |
iIoU |
| road | 98.4021 | - |
| sidewalk | 84.8964 | - |
| building | 92.603 | - |
| wall | 50.5235 | - |
| fence | 56.7995 | - |
| pole | 65.6663 | - |
| traffic light | 73.8984 | - |
| traffic sign | 76.7683 | - |
| vegetation | 93.3806 | - |
| terrain | 71.4796 | - |
| sky | 95.4455 | - |
| person | 85.4924 | 68.0289 |
| rider | 68.9614 | 47.0108 |
| car | 95.3932 | 88.3468 |
| truck | 62.152 | 33.9124 |
| bus | 78.6022 | 46.6359 |
| train | 74.0872 | 47.4263 |
| motorcycle | 64.7458 | 41.8616 |
| bicycle | 74.9183 | 61.3284 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.614 | - |
| nature | 93.0442 | - |
| object | 72.0065 | - |
| sky | 95.4455 | - |
| construction | 93.0895 | - |
| human | 85.7912 | 69.3536 |
| vehicle | 94.8039 | 86.7674 |
Links
Download results as .csv file
Benchmark page
