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 | 81.5135 |
| iIoU Classes | 62.0195 |
| IoU Categories | 91.4214 |
| iIoU Categories | 80.7349 |
Class results
| Class |
IoU |
iIoU |
| road | 98.3698 | - |
| sidewalk | 86.4061 | - |
| building | 93.5272 | - |
| wall | 59.0392 | - |
| fence | 63.2272 | - |
| pole | 70.1575 | - |
| traffic light | 77.4029 | - |
| traffic sign | 81.2722 | - |
| vegetation | 93.7057 | - |
| terrain | 72.5335 | - |
| sky | 95.3115 | - |
| person | 87.2225 | 70.8039 |
| rider | 73.1376 | 53.7196 |
| car | 96.0508 | 91.0713 |
| truck | 73.3019 | 46.3923 |
| bus | 92.1289 | 58.9055 |
| train | 88.6291 | 60.6207 |
| motorcycle | 70.2236 | 50.7647 |
| bicycle | 77.1089 | 63.8776 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.4998 | - |
| nature | 93.3998 | - |
| object | 76.1579 | - |
| sky | 95.3115 | - |
| construction | 93.6317 | - |
| human | 87.334 | 71.9511 |
| vehicle | 95.615 | 89.5186 |
Links
Download results as .csv file
Benchmark page
