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 | 74.7843 |
| iIoU Classes | 47.8849 |
| IoU Categories | 88.8673 |
| iIoU Categories | 74.3623 |
Class results
| Class |
IoU |
iIoU |
| road | 98.3377 | - |
| sidewalk | 84.3719 | - |
| building | 91.6475 | - |
| wall | 45.3316 | - |
| fence | 52.9815 | - |
| pole | 60.5751 | - |
| traffic light | 69.3178 | - |
| traffic sign | 73.5185 | - |
| vegetation | 92.5676 | - |
| terrain | 70.9901 | - |
| sky | 94.375 | - |
| person | 82.636 | 61.7584 |
| rider | 64.7646 | 38.2713 |
| car | 95.0611 | 88.1623 |
| truck | 65.8476 | 30.198 |
| bus | 76.8161 | 40.1179 |
| train | 71.5449 | 37.7853 |
| motorcycle | 59.562 | 33.7818 |
| bicycle | 70.6541 | 53.0046 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.5573 | - |
| nature | 92.2885 | - |
| object | 67.5468 | - |
| sky | 94.375 | - |
| construction | 92.1295 | - |
| human | 82.9294 | 62.8171 |
| vehicle | 94.2444 | 85.9075 |
Links
Download results as .csv file
Benchmark page
