Method overview
| challenge |
pixel-level semantic labeling |
| used Cityscapes data |
fine annotations |
| used external data |
ImageNet |
| runtime |
n/a |
| subsampling |
8 |
Average results
| Metric |
Value |
| IoU Classes | 78.9779 |
| iIoU Classes | 55.6768 |
| IoU Categories | 91.0876 |
| iIoU Categories | 79.2426 |
Class results
| Class |
IoU |
iIoU |
| road | 98.6484 | - |
| sidewalk | 86.6166 | - |
| building | 93.0914 | - |
| wall | 53.643 | - |
| fence | 57.9679 | - |
| pole | 67.8921 | - |
| traffic light | 76.6648 | - |
| traffic sign | 79.2977 | - |
| vegetation | 93.6563 | - |
| terrain | 73.1078 | - |
| sky | 95.5531 | - |
| person | 86.632 | 68.489 |
| rider | 69.4508 | 47.8918 |
| car | 96.0423 | 90.9681 |
| truck | 72.7504 | 39.2485 |
| bus | 82.1603 | 51.3025 |
| train | 73.7238 | 40.8356 |
| motorcycle | 67.259 | 45.1625 |
| bicycle | 76.4217 | 61.5162 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.7564 | - |
| nature | 93.3822 | - |
| object | 74.0078 | - |
| sky | 95.5531 | - |
| construction | 93.5952 | - |
| human | 86.8492 | 69.6783 |
| vehicle | 95.469 | 88.8069 |
Links
Download results as .csv file
Benchmark page
