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 | 77.2755 |
| iIoU Classes | 54.6834 |
| IoU Categories | 90.4276 |
| iIoU Categories | 78.1849 |
Class results
| Class |
IoU |
iIoU |
| road | 98.429 | - |
| sidewalk | 85.0323 | - |
| building | 92.6473 | - |
| wall | 50.9781 | - |
| fence | 56.8699 | - |
| pole | 65.5423 | - |
| traffic light | 73.8885 | - |
| traffic sign | 76.8684 | - |
| vegetation | 93.3926 | - |
| terrain | 71.5507 | - |
| sky | 95.4657 | - |
| person | 85.6218 | 68.177 |
| rider | 69.2188 | 47.0785 |
| car | 95.4485 | 88.5694 |
| truck | 63.5077 | 35.373 |
| bus | 79.433 | 46.3747 |
| train | 74.3399 | 48.6647 |
| motorcycle | 65.0181 | 41.7585 |
| bicycle | 74.9824 | 61.4714 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.622 | - |
| nature | 93.0564 | - |
| object | 71.9788 | - |
| sky | 95.4657 | - |
| construction | 93.1147 | - |
| human | 85.9022 | 69.4608 |
| vehicle | 94.8531 | 86.9091 |
Links
Download results as .csv file
Benchmark page
