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 | 44.6259 |
| iIoU Classes | 30.5764 |
| IoU Categories | 81.5954 |
| iIoU Categories | 69.4743 |
Class results
| Class |
IoU |
iIoU |
| road | 76.6043 | - |
| sidewalk | 30.5989 | - |
| building | 84.8178 | - |
| wall | 11.3524 | - |
| fence | 1.5276 | - |
| pole | 48.7474 | - |
| traffic light | 53.1628 | - |
| traffic sign | 37.5316 | - |
| vegetation | 87.4099 | - |
| terrain | 0 | - |
| sky | 91.9143 | - |
| person | 70.8166 | 60.9436 |
| rider | 29.7751 | 20.5175 |
| car | 90.262 | 77.5799 |
| truck | 0 | 0 |
| bus | 43.1503 | 29.3862 |
| train | 0 | 0 |
| motorcycle | 45.5788 | 28.3121 |
| bicycle | 44.6415 | 27.8721 |
Category results
| Category |
IoU |
iIoU |
| flat | 96.2905 | - |
| nature | 85.8404 | - |
| object | 49.8313 | - |
| sky | 91.9143 | - |
| construction | 87.1298 | - |
| human | 74.4421 | 64.7926 |
| vehicle | 85.7196 | 74.156 |
Links
Download results as .csv file
Benchmark page
