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 | 82.309 |
| iIoU Classes | 63.0818 |
| IoU Categories | 92.0723 |
| iIoU Categories | 83.3271 |
Class results
| Class |
IoU |
iIoU |
| road | 98.7073 | - |
| sidewalk | 87.1449 | - |
| building | 93.8904 | - |
| wall | 61.6197 | - |
| fence | 61.7681 | - |
| pole | 71.4316 | - |
| traffic light | 78.7026 | - |
| traffic sign | 81.7058 | - |
| vegetation | 93.997 | - |
| terrain | 73.3389 | - |
| sky | 96.0057 | - |
| person | 88.5014 | 75.5103 |
| rider | 74.8696 | 54.9046 |
| car | 96.5495 | 91.9405 |
| truck | 77.0575 | 46.7646 |
| bus | 89.006 | 58.9492 |
| train | 89.243 | 56.2865 |
| motorcycle | 71.3619 | 52.8536 |
| bicycle | 78.9702 | 67.4447 |
Category results
| Category |
IoU |
iIoU |
| flat | 98.8048 | - |
| nature | 93.7184 | - |
| object | 77.0153 | - |
| sky | 96.0057 | - |
| construction | 94.1651 | - |
| human | 88.7012 | 76.2455 |
| vehicle | 96.0958 | 90.4087 |
Links
Download results as .csv file
Benchmark page
