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 | 75.2578 |
| iIoU Classes | 49.4034 |
| IoU Categories | 88.6622 |
| iIoU Categories | 74.159 |
Class results
| Class |
IoU |
iIoU |
| road | 98.4857 | - |
| sidewalk | 85.1876 | - |
| building | 91.8085 | - |
| wall | 51.0813 | - |
| fence | 51.6941 | - |
| pole | 58.333 | - |
| traffic light | 68.206 | - |
| traffic sign | 73.3455 | - |
| vegetation | 92.6526 | - |
| terrain | 70.6119 | - |
| sky | 94.7828 | - |
| person | 82.6426 | 61.0443 |
| rider | 66.5056 | 41.7625 |
| car | 95.0571 | 88.0492 |
| truck | 68.023 | 32.1691 |
| bus | 79.3392 | 43.7277 |
| train | 70.3984 | 39.6422 |
| motorcycle | 60.5346 | 34.5869 |
| bicycle | 71.2082 | 54.2455 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.5093 | - |
| nature | 92.2862 | - |
| object | 65.8187 | - |
| sky | 94.7828 | - |
| construction | 92.1403 | - |
| human | 82.805 | 62.4505 |
| vehicle | 94.2928 | 85.8675 |
Links
Download results as .csv file
Benchmark page
