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 | 73.36 |
| iIoU Classes | 43.3316 |
| IoU Categories | 86.9293 |
| iIoU Categories | 69.0522 |
Class results
| Class |
IoU |
iIoU |
| road | 98.3173 | - |
| sidewalk | 83.6976 | - |
| building | 91.1108 | - |
| wall | 52.7083 | - |
| fence | 51.5909 | - |
| pole | 52.3267 | - |
| traffic light | 62.9822 | - |
| traffic sign | 68.1955 | - |
| vegetation | 91.5934 | - |
| terrain | 68.7134 | - |
| sky | 94.0262 | - |
| person | 79.197 | 53.8066 |
| rider | 62.4668 | 34.6362 |
| car | 94.6573 | 85.6616 |
| truck | 71.5096 | 27.7563 |
| bus | 77.6873 | 38.8398 |
| train | 67.106 | 31.0737 |
| motorcycle | 58.3328 | 27.7322 |
| bicycle | 67.6204 | 47.1468 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.3479 | - |
| nature | 91.2223 | - |
| object | 60.367 | - |
| sky | 94.0262 | - |
| construction | 91.312 | - |
| human | 79.5186 | 55.1503 |
| vehicle | 93.711 | 82.9542 |
Links
Download results as .csv file
Benchmark page