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 | 76.8095 |
| iIoU Classes | 53.8875 |
| IoU Categories | 90.2885 |
| iIoU Categories | 78.1596 |
Class results
| Class |
IoU |
iIoU |
| road | 98.3906 | - |
| sidewalk | 84.7698 | - |
| building | 92.524 | - |
| wall | 50.3128 | - |
| fence | 56.58 | - |
| pole | 65.0557 | - |
| traffic light | 73.5871 | - |
| traffic sign | 76.6676 | - |
| vegetation | 93.3014 | - |
| terrain | 71.254 | - |
| sky | 95.3826 | - |
| person | 85.4131 | 68.412 |
| rider | 68.8968 | 46.0732 |
| car | 95.3501 | 88.4695 |
| truck | 61.6052 | 33.2342 |
| bus | 78.0341 | 45.9854 |
| train | 72.9186 | 45.8373 |
| motorcycle | 64.6124 | 41.3763 |
| bicycle | 74.7252 | 61.7119 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.606 | - |
| nature | 92.9675 | - |
| object | 71.5356 | - |
| sky | 95.3826 | - |
| construction | 93.0176 | - |
| human | 85.7453 | 69.5977 |
| vehicle | 94.7647 | 86.7216 |
Links
Download results as .csv file
Benchmark page
